Select attendees can catch a ride in the autonomous shuttles from the Detroit Metropolitan Airport (DTW) to downtown Detroit during the NAIAS media days that take place from June 8 through June 11, 2020. The vehicles will demonstrate navigating both busy city streets, as well as highway-speed traffic at varying levels of autonomy.

The autonomous shuttles, which Dataspeed will engineer on the AM General MV-1 platform, will be designed with the latest safety-focused technology. The MV-1 is the only commercial vehicle that was designed and built specifically for wheelchair accessibility from the ground up. Each shuttle will be equipped with industry-leading vehicle software and sensors, including several forms of LiDAR, RADAR, GPS, and cameras, to appropriately detect, predict, and react during the pre-planned route. Additional safety measures will include qualified safety drivers and driver override settings. 

The all-new Fit will be the model equipped with advanced safety features. A front wide view camera which covers a wide area in front of the vehicle will be newly added to the Honda SENSING advanced safety and driver-assistive system installed to the all-new Fit. By combining the front wide view camera and eight sonar sensors mounted in the front and back of the vehicle, the all-new Fit features further enhanced existing Honda SENSING functions as well as the new short-distance collision mitigation braking system. The Honda SENSING is available as standard equipment on all types of the all-new Fit.

Aiming for a future society free of car accidents, Mazda is continually working to advance safety performance under the Mazda Proactive Safety philosophy. The MX-30 strengthens the i-Activsense advanced safety technology suite with new functionality added to Smart Brake Support aimed at helping to prevent collisions at intersections and technology designed to help keep drivers on track on roads with curbs or discernable edges, even in the absence of lane markings. And thanks to a body that is both strong and efficiently absorbs energy despite adopting freestyle doors with no center pillar, collision safety performance is excellent. Mazda’s engineers incorporated the latest technologies and development concepts, including a carefully designed structure to protect the high-voltage battery, so that anybody can enjoy the responsive performance of the MX-30 with peace of mind.

ACTIVE SAFETY: I-ACTIVSENSE

SMART BRAKE SUPPORT (SBS) WITH TURN-ACROSS TRAFFIC

SBS adds a new Turn-Across Traffic function to the vehicle, pedestrian, nighttime pedestrian and bicycle monitoring functions already built into the system. When turning left at an intersection, (on left-hand drive units), the forward-sensing camera and milliwave radar sensors monitor oncoming traffic. When the system determines there to be a chance of a collision occurring, it automatically applies the brakes to help prevent impact or mitigate damage that may occur. The function only operates at low speeds and is programmed to monitor nearby vehicles.

EMERGENCY LANE KEEPING

ROAD KEEP ASSIST

When travelling at speeds of approximately 60km/h or greater, the forward-sensing camera monitors grass, curbs and such along the edges of unmarked roads. When the system determines there to be a chance of the vehicle drifting off the road, it assists steering operations to prevent that from happening. This helps instill greater peace of mind when driving on roads without lane markings.

BLIND SPOT ASSIST

The system uses 24GHz milliwave radar sensors to monitor the areas behind and to the sides of the car when travelling at speeds of 60km/h or greater. If the driver steers to change lanes when there is a threat of colliding with a vehicle approaching from the rear, the system assists steering operations to help prevent impact or mitigate

The new Nissan Ariya Concept, introduced today at the 46th Tokyo Motor Show, signals the dawn of a new era for Nissan as the company embarks to redefine its brand philosophy for the next evolutionary phase of the automobile.

The Ariya Concept features a spacious, premium cabin with high-tech features and a body that conveys the pure, clean nature of electric cars. It embodies the Nissan Intelligent Mobility vision of personal transportation – one where electrification and vehicle intelligence will offer seamless and adaptive travel experiences free of accidents or harmful emissions.

The Ariya Concept expands on design elements first hinted at by the Nissan IMx concept at the 2017 Tokyo Motor Show. They include the bold electrified V-motion signature “shield” and striking rear light blade, short overhangs, and an interior that feels more like a lounge than a conventional vehicle.

Although it’s a concept vehicle, the crossover EV’s bold styling and unconventional interior and exterior elements could make it into production in the near future.

Nissan designed the Ariya Concept to fully embody the three pillars of Nissan Intelligent Mobility – Intelligent Driving, Intelligent Power and Intelligent Integration. Combining advanced electric-vehicle technology with a new level of seamless human-machine interface connectivity, it offers an entirely new driving experience.

The Ariya Concept features the latest version of Nissan’s award-winning driver assistance system, ProPILOT 2.0, for a more confident and comfortable drive. The system combines navigated highway driving with hands-off single-lane driving capabilities. By engaging the vehicle’s navigation system to help maneuver the car on a predefined route on designated roads, the system can assist the driver with passing, lane diversions and lane exiting on multi-lane highways.

ProPILOT 2.0 also enables hands-off driving while cruising in a given lane. When approaching a road diversion or preparing to pass another vehicle, the system judges the appropriate timing of branching off or passing based on information from the navigation system and 360-degree sensing.

The driver receives intuitive audio and visual guidance and is prompted to put both hands on the steering wheel and confirm the start of these operations via a switch. When driving with ProPILOT 2.0 engaged, the interior lighting changes colors to signal that hands-off driving is enabled, while creating a relaxing atmosphere.

Built with a high-performance, 100% electric drive system, the Nissan Ariya Concept delivers instant torque to the wheels from a dual front/rear motor drive configuration. This layout delivers balanced, predictable power to all four wheels, equal or better than many premium sports cars.

The Ariya Concept promises excellent cornering performance and traction on slippery surfaces such as snow and loose dirt, without drivers needing to change their driving style, steering input or even pedal position. It accomplishes this thanks to the high-power, twin-motor, all-wheel control system. Employing knowledge gained from years of vehicle control development – including the Nissan GT-R’s ATTESA E-TS torque split system and the Nissan Patrol’s intelligent 4X4 system – engineers created this new system to manage the EV’s power delivery and brakes automatically, ensuring smooth passage with minimal tire slippage. Drivers can maintain their driving posture and comfort, letting the system do all the work.

Synopsys shared details of its collaboration with Samsung Foundry to deliver comprehensive automotive chip design solutions to meet target automotive safety integrity levels (ASILs) for autonomous driving and advanced driver-assistance systems (ADAS). As part of this collaboration, Samsung Foundry and Synopsys have enabled Samsung’s automotive reference flow to meet target ASILs for safety-critical designs. Developed based on its 8LPP process, Samsung Foundry’s automotive reference flow has been finely tuned to deliver benefits on a variety of process technologies.

Synopsys’ comprehensive automotive design solutions deliver complex functional safety (FuSa) analysis, implementation, and verification capabilities. Differentiated offerings for automotive design, such as unified functional safety verification and native automotive solutions, enable designers to prove at the planning and implementation phases that their chip safety architecture can achieve target ASILs. Designers can perform failure mode and effects analysis (FMEA) and failure mode effects and diagnostic analysis (FMEDA) through Synopsys’ VC Functional Safety Manager that brings together best-in-class technologies for fault campaign management. Early functional safety analysis at RTL or gate level can quickly identify candidates for triple-mode redundancy (TMR) and dual-core lock-step (DCLS) redundancy and estimate ISO 26262 metrics for target ASIL. Synopsys’ native automotive solutions based on FuSa intent provide the industry’s most comprehensive feature set to implement FuSa mechanisms, such as TMR, DCLS, and failsafe finite state machine (FSM), perform formal verification, and check and report that safety mechanisms are properly implemented. Comprehensive digital/analog fault injection and simulation can be performed to produce reliable metrics for FMEDA and roll-up. Synopsys also provides complete solutions to address reliability challenges in automotive design, including electromigration (EM), voltage (IR) drop, device aging, and robust redundant via insertion (RVI) capabilities. Synopsys provides designers with a broad portfolio of automotive IP that is designed and tested for AEC-Q100 reliability, offers ASIL Ready ISO 26262 certification, and supports automotive quality management.

• The world’s first AI-based ADAS feature planned for upcoming HMG vehicle

Hyundai Motor Group announced the development of the world’s first Machine Learning based Smart Cruise Control (SCC-ML), a technology that incorporates the driver’s patterns into its self-driving behavior, creating a custom experience for the driver.

The technology, an industry first, incorporates artificial intelligence (AI) within the Advanced Driver Assistance System (ADAS) feature. The system is planned for implementation in future Hyundai Motor Group vehicles.

Smart Cruise Control (SCC) enables an essential self-driving feature and core technology for ADAS: maintaining distance from the vehicle ahead while traveling at the speed selected by the driver.

SCC-ML combines AI and SCC into a system that learns the driver’s patterns and habits on its own. Through machine learning, Smart Cruise Control autonomously drives in an identical pattern as that of the driver.

In order to operate the previous Smart Cruise Control, the driver manually adjusted driving patterns, such as the distance from the preceding vehicle and acceleration. It was impossible to meticulously fine-tune the settings to accommodate the driver’s individual preferences without machine learning technology.

For instance, even the same driver may accelerate differently in high-speed, mid-speed and low-speed environments depending on circumstance, but detailed fine-tuning was not available. Therefore, when Smart Cruise Control was activated and the vehicle operated differently than they prefer, drivers, sensed the difference, resulting in a reluctance to use the technology because it made them feel anxious and unstable.

Hyundai Motor Group’s independently developed SCC-ML operates as follows: First, sensors, such as the front camera and radar, constantly acquire driving information and send it to the centralized computer. The computer then extracts relevant details from the gathered information to identify the driver’s patterns. An artificial intelligence technology called machine learning algorithm is applied during this process.

The driving pattern can be categorized into three parts: distance from preceding vehicles, acceleration (how quickly it accelerates), and responsiveness (how quickly it responds to driving conditions). In addition, driving conditions and speeds are considered as well.

For instance, maintaining a short distance from the preceding vehicle during slow, city driving, and further away when driving in the fast lane. Considering these various conditions, SCC-ML makes analysis to distinguish over 10 thousand patterns, developing a flexible Smart Cruise Control technology that can adapt to any driver’s patterns.

The driving pattern information is regularly updated with sensors, reflecting the driver’s latest driving style. In addition, SCC-ML is programmed specifically to avoid learning unsafe driving patterns, increasing its reliability and safety.

With upcoming Highway Driving Assist system that features automatic lane change assist, SCC-ML achieves Level 2.5 self-driving.

The AR0132AT is used in the stereo camera system that forms the ‘eyes’ of EyeSight, to support important safety functionality, including adaptive cruise control, lane keep assist and sway warning, pre-collision braking and pre-collision throttle management. EyeSight has won numerous awards for its pioneering role in advanced safety technology; most recently these include accolades from the Insurance Institute for Highway Safety (IIHS), and the top rating of Advanced Safety Vehicle Triple Plus (ASV +++) in the Japan New Car Assessment Program (JNCAP).

ON Semiconductor’s lead in CMOS image sensor technologies to address the growing number of applications under the umbrella of Advanced Driver Assistance Systems (ADAS) is underlined by its global number one position and market share of over 60%. The company’s technical collaboration with SUBARU leverages image sensors that combine optimized performance at the pixel level with higher resolution. This helps enable features, including those described in the latest European New Car Assessment Programme (EuroNCAP 2020), to improve vehicle safety, not only for vehicle occupants, but also for other Vulnerable Road Users (VRUs) such as pedestrians, motorcyclists and cyclists.

Synopsys announced that NXP plans to deploy Synopsys’ native automotive design solutions to improve quality-of-results (QoR) and time-to-results (TTR) for its next-generation, safety-critical system-on-chip (SoC) designs. The accelerating evolution of vehicle technologies means that more automotive chips are required to satisfy higher automotive safety integrity levels (ASILs) for autonomous driving and advanced driver-assistance systems (ADAS). To meet higher ASILs, functional safety mechanisms, such as triple-mode redundancy (TMR) and dual-core lock-step (DCLS), can be used. These mechanisms mitigate random hardware failures in automotive designs, such as single-event upsets (SEUs), but can present TTR, capacity, and QoR design challenges which can be significantly alleviated using Synopsys’ native automotive design solutions.

Using its 16-nanometer (nm) S32G274 automotive network processing chip, NXP tested Synopsys’ native solutions for implementing TMR registers. Compared to its existing flow, NXP observed significantly reduced IC Compiler II placement and legalization runtime by more than 20 percent. This functionality also markedly improved capacity of job execution, which enabled NXP to leverage the most cost-effective compute farm. In addition, the native automotive solutions alleviated routing congestion and wire length in dense areas of the design, and improved usability with simplified implementation and comprehensive reporting to replace NXP’s homegrown scripting solutions.

Synopsys’ native automotive solutions enable designers to achieve their target ASILs by providing the industry’s most comprehensive feature set to implement functional safety mechanisms, such as TMR, DCLS, and failsafe finite state machine (FSM). Synopsys’ native automotive solutions comprise a complete digital design flow incorporating functional safety (FuSa)-enabled technologies.

Today, automotive engineering teams are forced to use multiple, often unaligned, tools to handle the complete validation and verification process. As automotive systems become increasingly more complex and data intensive, the process has become correspondingly more challenging and convoluted.  Scaling these complex systems is especially problematic. Those involved with the process—which can range from test drivers and engineers to data scientists, IT pros and project managers, among others—are typically located in different parts of the world, which makes data orchestration even more difficult.

EB Assist Test Lab offers a unique, end-to-end approach to validation and verification, providing a “one-stop shop” solution integrating tools that are already on the market and in use with additional functionality to cover critical gaps. It covers the entire testing cycle, from data collection to data analysis, including optimized processes for collaboration, integration with third-party tools and services, data processing and management, and more. The combined goals of improved workflow, increased efficiencies and ultimately accelerated schedules are all realized in the new EB product.

In collaboration with cloud partners such as Microsoft and data center providers like Equinix, EB Assist Test Lab is infinitely scalable, able to handle the vast and growing amounts of data generated by today’s increasingly complex systems equipped with radar, Lidar and high-resolution cameras. Data collections per vehicle per day currently average hundreds of megabytes per second, and are expected to increase to multiple gigabytes per second in the next generation.

The companies plan to develop a series of hardware platform demonstrators, combining ON Semiconductor’s latest HD camera and radar sensor and pre-processor chipsets and expertise with AImotive’s advanced AI-based perception algorithms, hardware acceleration and simulation capabilities. The platforms will showcase the superior accuracy, robustness and low latency of AI-based real-time sensor fusion and will utilize AImotive’s aiWare hardware NN (Neural Network) acceleration IP in FPGA-based prototypes, as well as modules from its aiDrive software portfolio and its aiSim simulation environment.

It has become clear to many researchers, as well as automotive OEMs and Tier1s, that future autonomous driving platforms will require the fusion of data from multiple different sensor types to achieve the necessary robustness and the highest quality results in all operating conditions. One approach gaining popularity is combining high resolution image sensors with advanced radar sensors to improve perception performance in all weather conditions. The complementary nature of these types of sensors enables the extraction of significantly more information when the data is combined intelligently, giving significantly more accurate results.

ON Semiconductor has developed a position of leadership in the automotive sector through its advanced and innovative products and solutions in imaging, radar, LiDAR and ultrasonic sensing. The company is unique in being able to offer all four sensor modalities. Combined, and used with technologies offered by companies like AImotive, these are able to address future vehicle requirements for robust, high performance sensor fusion platforms that support Advanced Driver Assistance Systems (ADAS) and autonomous driving.

Synopsys, announced its new native automotive solutions for more efficient system-on-chip (SoC) design. The accelerating evolution of vehicle technologies means that more automotive chips are required to satisfy higher automotive safety integrity levels (ASILs) for autonomous driving and advanced driver-assistance systems (ADAS). Synopsys’ native automotive design solutions enable designers to achieve their target ASILs by providing the industry’s most comprehensive feature set to implement functional safety (FuSa) mechanisms, such as triple-mode redundancy (TMR), dual-core lock-step (DCLS), and failsafe finite state machine (FSM).

With the differentiation available through native automotive solutions, designers can generate the industry’s first FuSa intent early in the design flow to describe safety mechanism behavior, which is used as input and maintained throughout the digital design flow. Synopsys’ native automotive solutions comprise a complete digital design flow incorporating FuSa-enabled technologies, which work together to maximize efficiency. These technologies include:

• TestMAX FuSa performs early functional-safety analysis at RTL- or gate-level and identifies candidates for TMR or DCLS redundancy to achieve single-point fault metric (SPFM) goals for target ASIL
• Design Compiler NXT synthesis, IC Compiler II place-and-route, and Fusion Compiler design insert, check, and report the safety mechanisms implemented
• Formality equivalence checker functionally verifies that the RTL matches the netlist after redundancy or additional logic modules are inserted
• IC Validator physical signoff verifies the layout and reports that all redundancy mechanisms are correctly implemented

To avoid hazards in urban areas, next-generation ADAS implementations require high-precision object recognition capable of detecting so-called vulnerable road users (VRUs) such as pedestrians and cyclists. At the same time, for mass-market mid-tier to entry-level vehicles, these systems must consume very low power. The new solution from Renesas and StradVision achieves both and is designed to accelerate the widespread adoption of ADAS.

StradVision’s deep learning–based object recognition software delivers high performance in recognizing vehicles, pedestrians, and lane marking. This high-precision recognition software has been optimized for Renesas R-Car automotive system-on-chip (SoC) products R-Car V3H and R-Car V3M, which have an established track record in mass-produced vehicles. These R-Car devices incorporate a dedicated engine for deep learning processing called CNN-IP (Convolution Neural Network Intellectual Property), enabling them to run StradVision’s SVNet automotive deep learning network at high speed with minimal power consumption. The object recognition solution resulting from this collaboration realizes deep learning–based object recognition while maintaining low power consumption, making its use suitable in mass-produced vehicles, encouraging ADAS adoption.

Key features of the deep learning-based object recognition solution:

(1) Solution supports early evaluation to mass production

StradVision’s SVNet deep learning software is a powerful AI perception solution for the mass production of ADAS systems. It is highly regarded for its recognition precision in low-light environments and its ability to deal with occlusion when objects are partially hidden by other objects. The basic software package for the R-Car V3H performs simultaneous vehicles, person and lane recognition, processing the image data at a rate of 25 frames per second, enabling swift evaluation and POC development. Using these capabilities as a basis, if developers wish to customize the software with the addition of signs, markings and other objects as recognition targets, StradVision provides support for deep learning-based object recognition covering all the steps from training through the embedding of software for mass-produced vehicles.

(2) R-Car V3H and R-Car V3M SoCs increase reliability for smart camera systems while reducing cost

In addition to the CNN-IP dedicated deep learning module, the Renesas R-Car V3H and R-Car V3M feature the IMP-X5 image recognition engine. Combining deep learning-based complex object recognition and highly verifiable image recognition processing with man-made rules allows designers to build a robust system. In addition, the on-chip image signal processor (ISP) is designed to convert sensor signals for image rendering and recognition processing. This makes it possible to configure a system using inexpensive cameras without built-in ISPs, reducing the overall bill-of-materials (BOM) cost.

Availability:

Renesas R-Car SoCs featuring the new joint deep learning solution, including software and development support from StradVision, is scheduled to be available to developers by early 2020.

– A future technology in preparation for an emergency situation of fully autonomous driving (level 4↑)… a technology never been applied to production cars

Hyundai Mobis developed a new safety brake system optimized for fully autonomous driving that is level 4 or higher.

Hyundai Mobis announced on September 19 that the company succeeded in developing the ‘redundancy brake system’ in which the emergency brake system is activated by itself even if the brakes do not work normally due to failure of electrical devices or external shock.

Redundancy, which means ‘dualization or extra,’ is a technology directly connected to the safety of passengers. As autonomous driving evolves to a higher level, the intervention of the driver decreases, and it becomes essential to secure the precision safety technology in preparation for an emergency situation. Accordingly, active efforts to develop redundancy technologies in key automotive parts including the brake system are being made.

The redundancy brake system, developed by Hyundai Mobis, is rated as the state-of-the-art safety technology to proactively prepare for level-4 or higher fully autonomous driving. Autonomous driving is divided into a total of six levels (0-5), and autonomous driving cars must be able to handle emergency situations by themselves at levels 4 and 5, the last level. If the redundancy brake system of Hyundai Mobis is applied, the auxiliary brake system is activated in an emergency situation. So the car will be able to reach the destination safely without any emergency situation transpiring.

The redundancy brake system consists of two electronic brake systems, the ECU, which is the brain for controlling them, and the software control platform.

 At normal times, the two controllers are connected to each other and exchange data, but if the main brake system is not working normally, the controller detects it, and orders the auxiliary brake system to start working. The core of this technology is to develop the software platform to help the control make a correct judgment at this time. During autonomous driving, numerous variables, which perceive external environments, must be taken into consideration.

It has been reported that even global competitors failed to easily develop the redundancy brake system because it is difficult to implement precise hardware technology and the software for controlling the two systems. Only a small number of foreign companies applied this technology to small busses with plenty of design space, and introduced the concept, but Hyundai Mobis is the first company to successfully develop the redundancy brake system at a level that can be immediately applied to passenger cars or SUVs.

With over 30 years’ experience in the photonics and imaging industry, Acal BFi’s engineers have the in-depth knowledge and capabilities to support customers as an extension to their in-house teams. This enables Acal BFi to act as a bespoke provider of LeddarTech’s innovative LiDAR solutions in Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Luxemburg, the Netherlands, Norway, Sweden, Switzerland, and the United Kingdom.

Synopsys announced new functional safety (FS) derivatives of its popular DesignWare® ARC® processor IP to simplify and accelerate the development of automotive system-on-chips (SoCs). The safety-enhanced processor portfolio, which includes the Synopsys DesignWare ARC EM22FS, HS4xFS, and EV7xFS processors, covers a broad range of automotive use cases from ultra-low power control modules to artificial intelligence (AI)-based vision processing. The Synopsys ARC “FS” cores integrate hardware safety features, such as redundant processors, error-correcting code (ECC), parity protection, safety monitors, and user-programmable windowed watchdog timers, to detect system errors. Comprehensive documentation related to safety, including enhanced-safety manuals, FMEDA, and DFMEA reports accelerate SoC-level functional safety assessments. In addition, the Synopsys DesignWare ARC MetaWare Development Toolkit for Safety (EM22FS, HS4xFS) and MetaWare EV Development Toolkit for Safety (EV7xFS) help simplify the development of ISO 26262-compliant software.

The Synopsys DesignWare ARC EM22FS processor provides ultra-low power, dual-core lockstep functionality for ASIL D safety requirements in applications such as automotive sensors, braking and steering systems, and keyless entry. For use cases with ASIL B requirements (i.e., non-lockstep), the processor can be configured with the two cores operating independently. The Synopsys DesignWare ARC HS4xFS processors support single-, dual-, and quad-core implementations to enable high-performance safety applications, such as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) networking, and electric vehicle battery charging.  In addition, the ARC EM22FS and HS4xFS processors can function as ASIL D compliant SoC-level safety managers with tight integration to Synopsys test solutions, including DesignWare STAR Memory System, STAR Hierarchical System, STAR ECC, and TestMAX XLBIST, to provide a comprehensive functional safety test solution. The processors are supported by the Synopsys DesignWare ARC MetaWare Development Toolkit for Safety, a complete solution for developing, debugging and optimizing embedded software targeted for automotive applications. Included in the toolkit is an ASIL D certified compiler and collateral related to safety, including a safety manual and safety guide, to help developers of safety-critical systems fulfill the requirements of the ISO 26262 standard and prepare for compliance testing.

The Synopsys DesignWare ARC EV7xFS Embedded Vision Processors, which combine a multicore vision CPU with a high-performance deep neural network (DNN) engine, integrate safety-critical hardware features to help meet ASIL B and D requirements for vision, radar, and LiDAR for ADAS applications and level 3+ autonomous vehicles. To provide greater flexibility to automotive design teams that address evolving requirements, the EV7xFS offers a “hybrid” option that enables users to select safety levels up to ASIL D in software, post-silicon. The EV7xFS processors are supported by the ARC MetaWare EV Development Toolkit for Safety.

• Machine learning analysis of 17-digit VIN specific manufacturer data used to create standardization, with car safety features grouped by purpose
• Insights represent first step in insurance rating for the effectiveness of the latest vehicle safety features in reducing collisions and insurance claims
• This classification will play a key role in helping insurers improve pricing segmentation and prepare for increasingly autonomous vehicles

Among new U.S. vehicles, 92.7% have at least one ADAS feature available as an option, according to SBD Automotive.Other safety feature classification systems may categorize features into just ‘Active’ or ‘Passive’ groups, but the new LexisNexis ADAS classification system, also uses myriad ADAS descriptors used by car manufacturers and groups those features by their specific purpose. This classification not only provides carriers with an understanding of the purpose of fifty plus ADAS features, but also draws relationships between them that are lost in other classification systems published to date.

LexisNexis Risk Solutions uses machine learning to logically sequence and classify vehicle safety features and components for insurance carriers, enabling insurers to more easily establish differences in the risk profile associated with these ADAS features and incorporate those differences into pricing and claims workflows. The company has extensive experience in this area, having normalized close to 2 million driving violations descriptions from over a hundred unique data sources into easily ingestible categories, now considered the insurance industry standard.

“There is a need to normalize or standardize the different features from auto manufacturers and deliver the data seamlessly to insurers for use in their workflows,” said Tanner Sheehan, Senior Director, Auto Insurance, LexisNexis Risk Solutions. “This challenge is a huge opportunity for us as ADAS features become more advanced with the move toward higher levels of vehicle autonomy and vast volumes of associated data. Over the last few years, we have been developing vehicle-centric solutions to enable insurers to adapt to increasingly sophisticated vehicles. This classification heightens the quality of our products by providing another layer of granularity and it provides insurers with the insights they need for more accurate rating and an improved customer experience.”  

A global team of experts at LexisNexis Risk Solutions developed this proprietary classification for the benefit of insurers. U.S. insurers can request additional information on the LexisNexis Risk Solutions Vehicle Build ADAS classification system today. LexisNexis will be launching this classification system for European insurers soon.

Veoneer’s mono vision camera system is designed to meet or exceed the market standards set by European NCAP for 5-star safety ratings. Veoneer’s system is best in class for object detection, lane detection with road boundary, free space detection, traffic light detection, and support object enhanced map. Veoneer’s system uses deep learning technologies to enhance detection algorithm performance.

Included in this nomination is Zenuity’s software, which will fuse data from the mono vision camera system and the vehicle’s radar sensor to activate features like emergency braking, adaptive cruise control, traffic jam assist, and other world-leading driver support functions.

Starting in 2021, Veoneer will begin delivering mono vision camera systems to this customer.

Safety and Driver Assistive Features

For the 2020 model year, Civic Si Sedan and Coupe models feature the Honda Sensing suite of safety and driver-assistive technologies as standard equipment. Honda Sensing includes Adaptive Cruise Control (ACC), Collision Mitigation Braking System (CMBS) incorporating Forward Collision Warning (FCW), Lane Keeping Assist System (LKAS) and Road Departure Mitigation (RDM) incorporating Lane Departure Warning (LDW). Additionally, all Honda Civic models receive automatic high beams as part of their Honda Sensing package.

The 2020 Honda Civic Si also features a long list of standard active and passive safety features, including Vehicle Stability Assist (VSA) with traction control, driver and passenger front and side airbags, side-curtain airbags with rollover sensor, Electronic Brake Distribution (EBD), Brake Assist and Honda’s next-generation Advanced Compatibility Engineering (ACE) body structure. The Civic family is designed to achieve a 5-Star Overall Vehicle Score from the National Highway Traffic Safety Administration (NHTSA) and Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). Civic Si features a multi-angle rearview camera with guidelines, and comes with Honda LaneWatch as standard equipment.