The AT128 sensor itself is an automotive-grade long-range lidar that offers an overall resolution of 1200×128. It can output real-time 3D data at a rate of 1.53 million points per second and has a detection range of up to 200 meters (@10% reflectivity), allowing for objects to be outlined in precise detail. As the primary LiDAR sensor for ADAS applications, the AT128 provides high performance and reliability at an affordable price point.

Together, the companies will work to enhance the ADAS driving functionalities of Neta Auto’s new series production vehicle. Looking forward, they will then continue to jointly leverage their strengths to advance the development and implementation of intelligent driving technology for a wide range of applications.

Hesai said that the FAW Group lent its technical experience and R&D capabilities to the collaboration, playing a key role in the integration and optimization of the in-cabin LiDAR solution. The FAW Group itself will officially unveil the solution at its forthcoming innovation technology conference.

The ET25 sensor is Hesai’s first ultra-thin long-range LiDAR designed for ADAS series production vehicles. Its compact form factor, measuring 25 mm in height, allows it to be easily fitted behind the windshield. While keeping the LiDAR sensor dust and dirt-free, the in-cabin solution also works to improve aerodynamics. In leveraging Hesai’s high-performance transceiver module, the ET25 also offers a detection range of over 250 meters at 10% reflectivity – enabling smarter decision-making in complex road scenarios.

Through it, Hesai’s AT128 long range LiDAR has been integrated into the latest version of Webasto’s Roof Sensor Module, which features several cameras and LiDAR sensors. The system likewise includes a full sensor set, together with other antennas, that is concealed under a full-surface polycarbonate cover that blends with the vehicle’s silhouette.

The AT128 sensor itself generates ultra-high resolution point clouds, perceiving objects up to 200 meters away – including vehicles, pedestrians, tires, and traffic cones. In perceiving and capturing such objects, the sensor works to enable and ensure accurate decision-making practices that help drivers avoid risk.

Following its work with the OEM on an existing partnership, that will include the first deployment of LiDAR-enabled automated technology on the new BMW 7 Series, the companies will shift their focus to the next generation of this technology, starting with the first B-sample phase. The outcome of this phase will enable the BMW Group to decide on a serial development agreement with Innoviz that will focus on bringing a new automated capabilities to more vehicles in the BMW lineup.

Another goal of the phase is to develop a LiDAR based Minimal Risk Maneuver (MRM) system in the future. The MRM acts as a secondary safety driving decision platform that will leverage the InnovizTwo LiDAR’s performance capabilities to manage real-time driving decisions. The MRM system is part of a growing software suite from Innoviz that will also include its next-generation perception software.

Nvidia DriveWorks offers a foundation to support autonomous vehicle software development, allowing developers to create and deploy autonomous driving applications. Through the new partnership, the developers leveraging DriveWorks will be able to effectively integrate Hesai’s LiDAR sensors into their vehicles, leading to more efficient and reliable autonomous driving systems.

The partnership’s scope extends to Nvidia Drive Sim, the tech company’s simulation platform that allows developers to test and validate autonomous driving systems in a physically-based virtual environment. Here, Hesai’s LiDAR sensor models will be made available in Drive Sim – allowing developers to leverage their capabilities for simulating real-world LiDAR data to support the accurate, more robust, testing of AV algorithms.

NavVis delivers detailed reality capture data for digital twin and industrial use cases in manufacturing – especially for factory planning, assembly planning, and shop floor operations. In the past, it has supported major manufacturing companies, including Volkswagen, Siemens, and BMW. Its wearable mobile imaging system, NavVis VLX 3, enables laser scanning professionals to efficiently capture and analyze intricate environments, thereby facilitating the accurate and efficient creation of new Building Information Models (BIM).

The VLX 3 will leverage Hesai’s all-new XT32M2X LiDAR sensor. In choosing Hesai, NavVis is looking to benefit from the capabilities of its sensors, including their 120-meter range performance, accuracy with 32 laser channels, and reliability. Together these qualities will enable NavVis users to capture precise and comprehensive data with enhanced efficiency. Based on the joint industry experiences of the two companies, Hesai has tailored these LiDAR sensors to serve industries such as reality capture, AEC, and scan-to-BIM.

The Alpha Prime sensor itself is purpose-built for autonomous driving and advanced vehicle safety at highway speeds. It provides real-time 3D data up to 0.1-degree vertical and horizontal resolution with a maximum range of 300 meters (984 feet) and a 360° surround view.

Ouster confirmed that Motional has already begun implementing Alpha Prime sensors on the IONIQ 5 robotaxis deployed for commercial operations in Las Vegas and Los Angeles, as well as its testing operations in Boston, Pittsburgh, and Singapore.

Integrating advanced software and hardware support from RoboSense, the solution provides precise and intelligent environmental perception capabilities – allowing autonomous vehicles to navigate through complex driving scenarios more easily. For customers, P6 will help reduce costs and increase efficiency while promoting the rapid implementation of large-scale autonomous driving commercial operations.

P6 offers a complete set of environmental perception functions – including road sign detection, dynamic and static obstacle detection, free space detection, and multi-LiDAR sensor fusion. It also comes with installation, deployment, calibration, and debugging service support to guarantee environmental perception in all scenarios across various autonomous driving projects.

As an automotive-grade solid-state LiDAR perception solution, the P6 integrates hardware based on two-dimensional MEMS scanning technology and software based on AI technology. Here, P6 can provide two to eight M series LiDARs that can be deployed on any part of the vehicle body according to customer needs. The solution is also designed to be suitable for many autonomous driving applications – customizable to the specific needs of different vehicle platforms and applications – while providing enhanced performance and accuracy for a range of autonomous driving scenarios, such as city streets and highways.

Equipped with four M-series solid-state LiDARs, the P6 offers dynamic switching and high-resolution long-distance detection capabilities, enabling intelligent perception over a 360-degree horizontal range, and allowing it to detect traffic conditions up to 200 meters away. The sensor can quickly process this data and provide feedback to the autonomous driving control center, allowing the vehicle to react quickly in response to any changes in the driving environment.

P6 is also equipped with Perception, RoboSense’s real-time point cloud perception software. With it, P6 will be able to accurately process complex traffic environment information. Even in challenging driving scenarios, such as mixed traffic and inclement weather conditions, it can accurately identify pedestrians, EVs, cars, trucks, and other obstacles while tracking their speed, acceleration, and location.

In real-world autonomous driving scenarios, P6 will leverage its sensitive environmental perception capabilities. When a P6-equipped vehicle enters the highway, for example, the M-series LiDARs will observe the vehicles surroundings for it. Its ‘GAZE’ function will switch modes dynamically and activate a high-resolution remote detection mode to quickly feed the traffic conditions (beyond 100 meters) back into Perception. After calculation and recognition, P6 will quickly send the perception results to the autonomous driving control center and the vehicle will react accordingly. RoboSense claims that this entire process takes place in milliseconds.

In addition to the reveal of its new Iris+ sensor and associated software, which Mercedes-Benz is integrating into its next generation vehicle lineup, the LiDAR company unveiled its product roadmap, several new exclusive commercial agreements, the acquisition of Seagate’s LiDAR-related assets, the establishment of a Luminar Semiconductor subsidiary, and a new insurance initiative in partnership with Swiss Re to reduce insurance costs for vehicles equipped with Luminar.

The new Iris+ sensor extends Luminar’s current product portfolio for new and existing customers. It aims to further enhance vehicle safety and autonomous capabilities by enabling increased performance and collision avoidance of small objects at up to autobahn-level speeds. The sensor also features a slimmer profile, allowing it to be integrated into the roofline of many production vehicles. Luminar confirmed that Iris+ has already begun shipping to its lead customer and is currently being industrialized to support series production vehicle launches from the 2025 model year. In supporting these launches, Luminar plans to develop a new manufacturing facility in Asia with a local partner.

In January, Luminar acquired Seagate’s LiDAR program to accelerate its own LiDAR development efforts. Here, the company acquired Seagate’s lidar-related IP and assets while onboarding a technical team who will work to strengthen the development of its next-gen LiDAR, automated manufacturing processes, and cost-down initiatives.

Supporting Luminar’s plans to expand its partnership ecosystem and product portfolio will be a new highly automated, high volume, manufacturing facility in Mexico – which is expected to begin initial operations in Q2 2023. The new facility is then scheduled to enter a rigorous validation process throughout the second half of 2023 to meet the standards and requirements set by OEMs for large-scale, global vehicle launches. This new facility is being developed with Celestica, Luminar’s contract manufacturing partner and will accompany a similar facility in Thailand, which will be developed with Fabrinet – another of its contract manufacturing partners.

Also showcased was Luminar AI Engine, a machine-learning based system which aims to enable heightened accuracy and precision of detecting objects, vehicles, pedestrians, and beyond. Over the next few years Luminar expects more than a million vehicles equipped with its systems to capture 3D data that can be fed into its AI engine. Through this engine, the company will then aim to develop a comprehensive, accurate, and up-to-date 3D dataset for the wider automotive industry.

A key partnership unveiled at the event was between Scale.ai and Luminar – who are partnering on the Luminar AI Engine. Here, Scale will supply its technology exclusively to Luminar while also providing data labeling and AI tools. A new partnership with Pony.ai will see Luminar support its next-generation commercial trucking and robotaxi platforms, which are targeted for series production by 2025. Pony.ai will also work with Luminar to further improve the performance and accuracy of Luminar’s AI engine. With Swiss Re, Luminar announced its own insurance program – based on an exclusive partnership to quantify quantify the on-road safety improvements of Luminar-equipped cars and the corresponding impact on insurance.

At Luminar Day, the company also announced the combination of its chip design subsidiaries (Black Forest Engineering, Optogration, and Freedom Photonics) into a new unified entity – Luminar Semiconductor. Mike McAuliffe has joined as President of Luminar Semiconductor.

The M30 Reference Design is currently being incorporated into future products from LiDAR developers, ToF camera makers, and industrial OEMs. For these customers and more, Lumotive claims that LCM-based LiDAR sensors offer a variety of benefits – including enhanced outdoor range performance, improved interference mitigation from other sensors, improved point cloud quality, and software-defined scan modes for increased (and application-specific) performance.

Following its presentation at the SPIE Photonics West Conference, both companies expect the design to launch by mid-2023.

Compared with traditional LiDAR sensors, the FT120 has a reduced number of components and no moving parts internally. Through this design, Hesai’s sensor works to improve reliability, production efficiency, and consistency.

Based on a highly integrated architecture, FT120 is compact while maximizing performance. Its size allows it to be embedded on both sides or around the vehicle’s body. With a minimum window size of 70 mm x 50 mm, the LiDAR can also fit into the fender, grille, bumper, or other areas across the vehicle (OEMs can customize horizontal or vertical placement).

FT120 features a 100° x 75° ultra-wide FOV, with zero blind spots and a maximum detection range of 100 meters. It can perceive surrounding objects such as street signs, railings, small animals, traffic cones, and crosswalks in real-time – providing vehicles with enhanced blind spot perception.

With a data rate of 192,000 points per second (in a single return), and an overall resolution of 160 x 120, the sensor is capable of detecting rich object details and gathering information about its surrounding environment in real-time. In scenarios such as turning at urban intersections, cutting in line, overtaking, and autonomous parking, FT120 can help smart cars visualize road conditions in real-time.

In anticipation of the FT120’s launch Hesai’s Maxwell manufacturing center will commence operations next year, targeting an annual production capacity of one million units.

The agreement will see the autonomous technology company specifically develop its Spectrum HD25 LiDAR for automotive integration. In partnering with Veoneer, Baraja hopes to accelerate the scale required for this integration. The agreement represents a step forward for the automotive integration of Spectrum HD25. Under it, Baraja will enter the next stage of development for the sensor.

Spectrum HD25 is built on Spectrum-Scan – Baraja’s proprietary solid-state scanning platform. The LiDAR system provides the range, resolution and performance necessary to help customers achieve full autonomy. In combining per-point Doppler capability at the hardware level, with Spectrum-Scan and the Random Modulation Continuous Wave (RMCW) ranging method, it works to deliver unparalleled performance and accuracy at range and speed.

The solution used at the ports combined Innoviz’s LiDAR with HiRain’s Convolutional Neural Network and is also being used for V2X applications. In taking solution to China’s ports, both companies aim to improve operational efficiency, mitigate risks and enhance worker safety. Innoviz and HiRain’s durable sensing system can detect vehicles, pedestrians, and infrastructure typically found at ports with precise location, distance, and size. HiRain’s system provides further functionality – including LiDAR protection, heat radiation protection, shock absorption, noise reduction, dustproofing and cleaning.

The companies Innoviz and HiRain initially began working together in 2018, and HiRain plans to integrate Innoviz’s next-generation LiDAR sensor, InnovizTwo, into its platforms, to make port operations even safer and more efficient. HiRain had previously developed its own roadside V2X solution using the InnovizOne LiDAR. The five-in-one sensor unit monitors traffic from a bird’s eye view, collecting environmental data and sending it to a high-performance computer in real-time. This computer then broadcasts the data to surrounding trucks in the area to avoid collisions and road safety as a result.

The Nova sensor itself features a combination of miniature size, high resolution, and heightened field of view coverage in vertical and horizontal directions. Its compact form factor supports integration options around the vehicle to provide a full perception of the vehicle’s surroundings. This helps the vehicle detect close-proximity objects such as pedestrians, bicycles, and obstacles on the road surface. Incorporating Cepton’s LiDAR technology and proprietary ASIC allows Nova to be used in consumer and commercial vehicles alike, as well as EVs.

When fitted, Nova can work across a flexible range of automotive applications. It can, for example, be deployed across ADAS and AVs to enhance the protection of vulnerable road users, while enabling autonomous driving and parking capabilities.

The headlamp integration solution designed for Nova also provides discrete embedment, a self-cleaning mechanism, and sensor protection for easy maintenance. It likewise enables a dual sensor design for cut-in detection.

At the center of its wide feature set is a 500-metre detection capability and its ability to detect objects at up to 250 meters at 10% reflectivity. Additional configurations are available with detection range up to 2000 meters. The 1550 nm platform included in the LiDAR is also safer for the human eye, allowing for increased peak pulse power – reaching longer detection distances while maintaining eye safety.

Working with a FOV of 120° x 25°, the LS series has three point-cloud configurations: 128-line, which generates 1.6 million data points per second, 256-line, that generates 3.2 million points per second, and a 512-line configuration capable of generating 6.4 million points per second. This enables the vehicle systems to identify potential road hazards earlier.

The 128-line configuration has a standard resolution of 0.09° x 0.2°, though with the sensor’s Region of Interest (ROI) feature enabled, equivalent to 512 lines, the angular resolution can reach as little as 0.05°. The 256-line configuration has a standard resolution of 0.09° x 0.1°. When the ROI feature is enabled, equivalent to 800 lines here, the angular resolution can reach as little as 0.03°.

Further benefits stem from the sensor’s design, which is 20% smaller than comparable products and allows for lower battery consumption as a result. The LS series image-grade 1550 nm LiDAR is now available for OEMs worldwide. It is designed for full lineup ADAS applications.

Outside, the doors leverage a smart ISD interactive system and UWB wireless communication technology with 10cm-level positioning. This allows the EV to automatically detect people, keys, and surrounding vehicles.

Inside the cabin features a fully digital setup headed by HiPhi Bot, an AI companion capable of automatically adjusting many aspects of the user experience. The assistant interacts with passengers and comes with a 8-direction, adjustable, robotic arm that can perform a variety of delicate movements . Further along the interior is a 23-speaker Meridian audio system and racing bucket seats.

Accelerating from 0 to 100 km/h (62 mph) in 3.8 seconds, the car comes with rear-wheel steering and an IVC vehicle dynamic control system that generates a steering angle of 13.2 degrees. The vehicle’s 120kWh high-performance battery pack leverages Cell to Pack technology and cooling liquids to offer heat diffusion and help prevent fires while providing up to 705 km of battery life.

Powering the vehicle’s ADAS is the OEM’s proprietary HiPhi Pilot system, which provides dual-redundancy for perception, communication, braking, steering, and power supply. In further enabling advanced safety safety, the HiPhi Z leverages an NVIDIA Orin X chip and BlackBerry’s QNX Neutrino OS to utilize 34 sensors and LiDAR technology to constantly scan its surroundings and perform assisted driving and parking functions. This combination of technologies also enables the vehicle’s smart summon feature, which see the vehicle autonomously drive to the user’s location.

The HiPhi Z’s pricing will range from $89,000 to $129,000 and, in the lead-up to further details being announced, it will be on display in Shenzhen from July 6. Human Horizons plans to debut the EV further across 11 key major cities. The OEM also confirmed that the HiPhi Z’s launch date will be announced at the Chengdu Auto Show in August, where interested users will be able to test drive the vehicle.

Valeo’s third-generation LiDAR sees everything, even when an object is far ahead, invisible to the human eye. It can identify objects more than 150 meters ahead that neither the human eye, cameras nor radars can, such as a small object with very low reflectivity, for example a tire lying in the road. It recreates a 3D image of the vehicle’s surroundings using a point cloud, with an as yet unparalleled resolution for an automotive system. It can map the ground topology and detect road markings.

Valeo LiDAR also features embedded high performance software based on artificial intelligence algorithms, which enables it to steer the vehicle’s trajectory, anticipating obstacle-free zones on the road ahead. It can self-diagnose and triggers its cleaning system when its field of vision is obstructed. Like all Valeo LiDAR, the technology is automotive grade, meaning that the data it generates remain fully reliable and accurate in all usage and weather conditions (from -40 up to +85°C). It stands as the key component in a sensor system enabling vehicles to achieve approval for SAE conditional driving automation (level 3), meeting the legal requirements of UN-R157.

Valeo’s third generation LiDAR makes driving safer and gives time back to the driver in bothersome driving situations, such as when traveling at low or medium speed in heavy traffic. These challenges are central to the partnership between Stellantis and Valeo. Through its data collection capabilities, this LiDAR will enable new services to be offered to Stellantis’ customers.

Valeo is already world number one in advanced driver assistance systems (ADAS), equipping one in three new cars globally with its technologies. It was the first, and to date remains the only, company to produce an automotive LiDAR scanner on an industrial scale. More than 170,000 units have been produced and the technology is protected by more than 500 patents. The Group intends to accelerate even further in this field, as announced in February 2022 with the launch of its Move Up plan, the value creation strategy at the heart of the four megatrends disrupting mobility (electrification, ADAS, reinvention of the interior experience and lighting).

Valeo’s third-generation LiDAR is capable of identifying objects more than 150 meters ahead, including small objects with very low reflectivity such as a tire lying in the road. It recreates a 3D image of the vehicle’s surroundings using a point cloud, can map the ground topology, and detect road markings.

Based on AI algorithms, the LiDAR’s embedded high performance software enables it to steer the vehicle’s trajectory, anticipating obstacle-free zones on the road ahead. It can self-diagnose and trigger its cleaning system upon detecting that its field of vision is obstructed. Valeo also confirmed that its new sensor is operable in a variety of weather conditions and temperatures, from -40°C up to +85°C.

Through both the partnership and SCALA 3 itself, Valeo’s aims to enhance road safety and give time back to the driver in certain driving situations, when traveling at low or medium speed in heavy traffic for example. These challenges will be a core aspect of the supplier’s collaboration with Stellantis. Stellantis customers themselves will be able to benefit from new services enabled by the LiDAR’s data collection capabilities.

This test was conducted with a solid-state LiDAR S3 test platform with a single OPA emitter module. The system represents a complete optical link of the emitter output on the transmission end, the detector sensitivity on the receiver end and the signal processing for range readout. Different from the scanning mode, this ranging mode test has the laser beam shooting at the same direction on a target with 10% reflectivity to simulate difficult-to-detect objects. The target positioned at 250 meters was successfully detected under outdoor bright sunlight conditions.

Quanergy’s Optical Phased Array (OPA) provides the most flexible, robust and cost-effective technology specifically designed for advanced mobility applications. With electronic beam steering and no moving parts, OPA-based S Series sensors are ideal for heavy vibration transportation applications such as autonomous trucks, mining, construction and agriculture since they are designed to provide more than 100,000 hours mean time between failure (MTBF). OPA, a 100% CMOS-based technology is also very cost-effective, and therefore it is expected to be a game changer for the transportation market.

While the OEM at the center of the deal has not yet been revealed, Innoviz has confirmed that more information will be provided during its upcoming quarterly earnings call. The collaboration itself will span eight years, beginning from 2025. Innoviz’s announcement follows the company going public at a valuation of $1.4 billion through a SPAC merger with the Collective Growth Corporation in 2021. To date, it has formed partnerships with major automotive companies around the world – including the BMW Group, Magna International, and Aptiv.