The software-only solution uses “sense of touch” technology to detect a variety of objects on the road of different heights, sizes, shapes, and materials – both organic and hard – such as a human body, road debris and other objects. The virtual sensor then prevents the vehicle from running over the object, which could harm human life or damage the vehicle. The safety level virtual sensor will be added on top of the Tactile Processor Platform, which already includes the company’s suite of virtual sensors such as grip estimation, tire health, surface sensing, vehicle health and much more.

According to NHTSA hundreds of children are killed and thousands are injured every year in nontraffic crashes in parking lots, driveways and private roadways. Runover virtual sensors in both autonomous vehicles and vehicles with ADAS systems can help reduce the human death toll by sending signals to these vehicles that alert the car and driver at distinct stages of the runover. The new virtual sensor will enable another critical safety function, allowing vehicles to sense the road, identify the type of material under their tires and alert an initial runover, preventing vehicles from fully running over objects that could lead to a fatal incident.

Three in four Americans are afraid to ride in fully self-driving vehicles. For autonomous vehicles to be trusted by the mainstream, they must be far safer than human-controlled vehicles. To achieve this, they must respond to vehicle-road dynamics just as – or better than – human drivers do; they must be able to not only “see” the road that lies ahead, but also “feel” the road friction, roughness, curves, grades, distresses and objects in the roads under their tires. Runover sensors enable vehicles to sense the road and react to obstacles, hazards, and vulnerable objects, significantly mitigating the damage.

The new test demonstrates the sensor’s capabilities in adverse weather conditions, and behind a first surface (in this case, a windshield). It was conducted to study the impact of adaptive LiDAR on the performance and safety of automated functionality. AEye’s team used a rain machine to simulate wet weather and mounted the sensor behind a piece of windshield glass to gauge long-range sensor performance in heavy rain. In a second test, its LiDAR sensor was able to detect small objects in a tunnel (through rain and a second surface) at 120 meters. It also detected five bricks and a black dog not visible to the human eye at the same distance, alongside a pedestrian and a child at 110 meters.

In March, the firm announced that VSI Labs had verified its LiDAR’s range, resolution, and speed capabilities, and its ability to place the sensor behind first surfaces (such as the windshield or grill) with a minimal impact to performance. The latter is critical to automotive OEMs, as it provides flexibility in implementing sensors within their vehicle designs without compromising on aesthetics or changing aerodynamics.

AEye’s bistatic architecture streamlines vehicle integration by separating the transmit and receive paths. This provides an optical isolation that ensures any light reflected does not blind the sensor, ensuring optimal performance – even in adverse weather conditions. This performance is further enhanced by AEye’s use of 1550 nanometer lasers that provides detection in areas with lower visibility – such as rain, snow, and smoke.

AEye’s intelligent LiDAR utilizes adaptive sensing to deliver this enhanced performance. The technology addresses the most difficult challenges facing autonomous driving while meeting functional safety requirements. AEye’s adaptive LiDAR is also capable of scanning the scene around it while focusing on important objects to enable safer, quicker, decision-making in complex scenarios.

In addition to performance testing from VSI Labs, the sensors were also validated by NTS, who put them through extreme automotive shock and vibration tests.

Hengyang City is one of China’s largest transportation hubs, with multiple highways and several railways operating throughout it. According to local media, the company plans to provide a multi-purpose solution that covers intelligent road construction, self-driving vehicle upgrades, and smart city transportation platform operations in cloud management.

In addition to its designed mileage of 200 kilometers (124 miles), there will be a 38-kilometer-long (23.6 miles) intelligent road which will launch in September during the project’s first phase. By then, there will be around 500 self-driving vehicles in the city – including autonomous buses, robotaxis, self-driving shuttle buses. The project will also utilize public service vehicles for firefighting, street sweeping, distributing, and emergency medical services.

Differing from its previous projects, Mogo Auto’s Hengyang project contains more complex traffic conditions. AVs will be deployed to a variety of areas – including main streets, the city center, tunnels, and flyovers, as well as roads in rural areas. The autonomous technology firm says that it will provide a Smart City Transportation Brain for real-time monitoring and overall scheduling to provide an easy, convenient, user experience and reduce traffic accidents or jams.

senseEDGE is designed to bridge the gap between complex 3D sensing dynamics and real-world applications. It is positioned to exploit the unique features of InnovizOne to enhance its sensor and scanning resources. InnovizOne’s point cloud enables the platform to provide real-time, low latency, object metadata information that is stronger than traditional object detection and tracking.

A key goal of the partnership is to ensure that smart city, road, and infrastructure operators take a forward-looking approach to delivering high-quality contextual data about objects that move and interact on roads – including vehicles, bicycles, and pedestrians.

door2door’s mobility analytics software will determine optimal parameters for mobility operators to run autonomous shuttles, supporting transit planners with simulations and demand/supply analysis. Their on-demand fleet management software will be deployed to both Olli’s onboard HMI and the passenger’s smartphone. This enables riders to call an Olli vehicle to their location and define a drop-off location within the vehicle’s operating domain. To fully optimize the joint autonomous shuttle service, door2door’s pooling algorithms will allow for shared rides.

Designed for ADAS, ARAS and autonomy, Vayyar’s XRR chip is the only single-chip 4D imaging radar with a 0-300m range, providing a high-resolution point cloud and ultra-wide FoV, enabling exceptional cost savings.

Vayyar’s XRR chip – AEC-Q100 qualified and ASIL-B compliant – is unmatched in terms of range, resolution, and performance. With an ultra-wide field of view and rich 4D point cloud imaging, it delivers unprecedented multifunctionality on a single-chip platform, supporting dozens of Advanced Driver Assistance Systems (ADAS), Advanced Rider Assistance Systems (ARAS) and autonomy features. This eliminates the need for multiple, costly vehicle sensors and reduces costs, complexity, hardware, software, power consumption, wiring and integration efforts.

Affording a range of 0-300m, the multi-range XRR chip differentiates between static obstacles such as dividers, curbs and parked vehicles, and between different types of VRUs, moving vehicles and other hazards. In low-speed environments such as parking lots, the XRR chip’s uSRR and SRR sensing supports advanced parking assistance, scanning the vehicle’s surroundings for pedestrians and obstacles. On the open road, MRR and LRR capabilities facilitate a variety of ADAS and autonomy applications such as Lane Change Assist (LCA), Adaptive Cruise Control (ACC), Blind Spot Detection (BSD), Collision Warnings (fCW/rCW), Cross Traffic Alerting (CTA) and Autonomous Emergency Braking (AEB).

Through this strategic cooperation, Webasto is committed to seamlessly embedding the RoboSense M1, camera and other sensor systems to the panoramic roof of vehicles to provide safer and more reliable environment perception information at the smallest possible space in the roof. The solution allows different roof systems to be mounted on the vehicle body, creating greater flexibility for the development of autonomous vehicles.

The SOP version of M1 has fully met the OEM’s all automotive-grade requirements.

• M1 has successfully solved point cloud’s “corner cases” including high reflectivity objects, near-field obstacles, strong ambient light (direct sunlight), and interference from other LiDAR sensors, etc.
• M1 successfully passed the automotive-grade verification tests include mechanical and vibration, shock, EMC electromagnetic compatibility, human eye safety, chemical anti-corrosion, salt spray, high and low-temperature storage and operation, etc.
• Moreover, RoboSense has established China’s first automotive-grade solid-state LiDAR production line and would start mass production and delivery in Q2 2021.

The RoboSense M1 boasts 125 ultra-high resolution scanning beams, ultra-wide FOV of 120°*25°, and a maximum detection range of 200m (150M@10%). At present, the M1(thickness 45mm, depth 108mm, width 110mm) is the thinnest solid-state LiDAR on the market. At the highest point of the vehicle, the M1’s unique mounting position in the smart roof module gives it the vantage point of view, which can greatly improve the detection ability of the perception system and ensure the safe and stable operation of the autonomous driving systems. Moreover, it costs less fuel consumption/NEDC mileage than other LiDAR products.

InnovizTwo LiDAR sensor is specifically designed for automakers and Robotaxi, shuttle, and delivery companies requiring an automotive-grade, mass-producible solution. Leveraging on previous generations InnovizPro and InnovizOne, the new InnovizTwo 905nm LiDAR enjoys the vast expertise developed at Innoviz. 

The new design includes a new detector, scanner, and multiple advances in the optical packaging and the electric design. InnovizTwo’s significantly improved performance is driven by:

1. Extended Field of View (FoV) of 125×40 degrees.
2. Increased native resolution of 0.07×0.05 degrees, over 8000 lines each second, leaving no hazardous object undetected. 
3. Exceeding market demand with a range of 300m, with the ability to see small, dark objects with 10% reflectivity at over 220m under strong sun conditions of 100Klux using the high resolution of 0.07×0.05 degrees and 20 frames per second, keeping full field of view.  
4. Configurable FoV, Region of Interest (ROI) and frame rate, allows adjustment to dynamic scenario configuration. The combination of very wide FOV with very long range replaces the need for installing multiple LiDARs.
5. Embedded Innoviz’s Automotive-grade Perception Platform (InnovizAPP) for object detection and classification of cars, pedestrians, motorcycles as well as providing shape, orientation, velocity, acceleration and occlusion status. InnovizTwo provides a secure and holistic solution that includes classification and detection capabilities in addition to the point cloud within the same box.
6. ASIL B(D) functional safety, full temperature range of -40 to 85 Deg C, AUTOSAR, ASPICE, automotive ethernet interface & cyber protection.    
7. Flexible and modular design to allow multiple design tradeoffs between multiple markets and verticals.

InnovizTwo samples will undergo rigorous testing and revisions this year in order to reach an optimum design. Innoviz expects that the product will enter series production during 2022 to serve leading OEM car programs due in 2023. Innoviz is also developing new manufacturing tools in order to enable it to reach production levels of between 500,000 and 1,000,000 units per year by 2024.

Customers that are using InnovizOne today will be able to switch to InnovizTwo as their programs scale to leverage cost and performance improvements. InnovizOne, already in production, was chosen by BMW for use on several of its models, supporting its first generation of consumer autonomous vehicles. InnovizTwo high volume production is planned to be managed and scale though Innoviz’s multiple tier I partners.

This collaboration is an industry first in the medium duty category and will accelerate the commercialization of autonomous delivery fleets while contributing to a safer and more sustainable logistics community in the future. The first vehicles will be deployed this year thanks to the cooperative efforts of Gatik’s and Isuzu’s engineering teams. The collaboration will integrate Gatik’s autonomous driving technology into a number of Isuzu medium-duty N-Series trucks to produce SAE Level 4 delivery vehicles with redundant systems.

The EUI program sets Embark apart as the first autonomous developer to pursue integration with all four major US OEMs. By focusing on the intersection of four platform specifications, instead of designing to one OEM platform, Embark is building the industry’s first universal system that is intentionally designed to integrate into any platform. Embark has designed its system from the beginning to work across platforms, a decision that has required an immense amount of upfront investment and thoughtfulness around cross-platform trade-offs. The EUI effort is the manifestation of this philosophy into a product.

The EUI achieves its universality through a two-part design. Part one consists of a standardized components package – sensors and compute system – which have been determined through thousands of hours of design, testing, and analysis. Between these standardized components and the truck is part two of the EUI design, a set of physical, electrical, and software interfaces that enable the standardized components package to connect to and communicate with any OEM platform’s steering, braking, throttle, telematics, power, chassis, and HVAC. This two-part approach, standardized components and flexible interfaces, achieves the best of both worlds for Embark and OEMs.

At the center of the interface package is the Embark Gateway, an automotive-grade ECU developed by Embark to enable API communication between Embark’s technology and any OEM platform.

Embark’s long-term vision is for OEMs to integrate Embark’s technology with their truck platforms, which the OEMs will then sell with the maintenance and warranty support carriers demand. Embark supports this model and undertook the EUI effort to accelerate this process. The benefits of the program for Embark and the freight ecosystem manifest themselves in both the short-term and long-term.

In the long run, the EUI program will generate novel learnings around standardized sensor placement, vehicle communication protocols, telematics standardization, power management, and many other areas. These learnings and the associated proprietary designs will inform Embark partnership and integration decisions with each OEM, by helping Embark and OEMs better understand the feasibility of different integration approaches. Most importantly, the learnings from the EUI effort will increase the efficiency, robustness, and safety of future commercial integration programs between Embark and OEMs, resulting in a better product for the end-customer – carriers.

Most major carriers see maintaining multi-OEM fleets as a key element of their business strategy, and the development of EUI sends a strong signal to the trucking industry that Embark is best-positioned to meet the needs of carriers.

InnovizAPP is based on Innoviz’s advanced Perception Software, which leverages the rich data derived from Innoviz’s LiDAR sensors, coupled with proprietary AI algorithms, to analyze the point cloud and estimate an object’s speed with high precision. The software can accurately detect and classify objects in any 3D driving scene up to 250 meters away, including cars, trucks, motorcycles, pedestrians, and more. It also executes perception algorithms in real time, detecting and classifying pixels as collision relevant or non-collision relevant.

The InnovizAPP hardware provides an automotive-grade reference design based on low-cost automotive-grade components. It connects to existing vehicle systems and enables real-time perception in a simple plug-and-play manner, allowing automakers to test and learn how to build their own autonomous driving systems.

Both the perception software and Innoviz’s solid-state LiDAR sensor, InnovizOne, are designed and developed to conform with the automotive industry’s highest standards and are being adopted by key industry leaders, including BMW.

Given the 60% spike in global consumer demand for SUVs over the past five years, Vayyar’s production-ready in-car sensor is designed to cover up to three rows. It can also accommodate the rapidly growing number of cars with sunroofs, thanks to uniform rear ceiling installation. Monitoring every seat and footwell, plus the trunk area, the sensor represents a breakthrough safety solution, protecting the most vulnerable vehicle occupants.

Up to 200 children die each year from heatstroke after being left unattended in cars. These tragedies can occur in minutes, since on days as cool as 22°C, the inside of a car, especially one equipped with a sunroof, can quickly reach 47°C.

Vayyar’s full-cabin sensor is fully operational in all lighting and weather conditions and maintains privacy at all times, since no cameras are involved. The ultra-wide field of view and high resolution provided by each sensor’s 48 transceivers are unmatched in the industry, enabling the platform to support multiple advanced applications simultaneously, while replacing numerous single-function sensors.

Given SUV cabin size and the fact that parents of young children comprise the majority of SUV owners, three-row coverage is a critical aspect of in-car sensing. Alternative solutions require two to three single-function sensors to cover the entire SUV cabin, driving up the cost associated with providing larger vehicle safety.

Until now, vehicles with sunroofs have also presented unique challenges in terms of in-cabin sensor positioning, with no option to fit sensors in the ceiling centre. Now OEMs can install just one Vayyar sensor in the rear ceiling area, covering the entire interior. 

Vayyar offers OEMs and Tier 1 suppliers a flagship Child Presence Detection (CPD) and enhanced Seat Belt Reminder (SBR) combo, essential for meeting Euro NCAP’s more stringent 2023 and 2025 safety scoring protocols. The platform does so by detecting occupants, classifying children and adults, and detecting posture and position.

The robust, automotive-grade solution also addresses incoming Euro NCAP safety requirements. Vayyar’s AEC-Q100 qualified and ASIL-B compliant platform provides up to 10 in-cabin points for 2023 onwards.

Multifunctionality on a single-chip platform enables automakers to move past the one sensor per function legacy industry approach. Uneconomical and unsustainable, this has traditionally burdened vehicles with more wiring, hardware, software and integration efforts. Instead, one sensor supports many safety applications, significantly reducing complexity and costs.

A data-rich 4D Point Cloud Application Programming Interface (API) provided by Vayyar’s platform enables customers to independently deploy numerous additional safety features over its point cloud layer. These may include Occupant Status (OS), optimised airbag deployment, seat belt pre-tensioning, eCall, gesture recognition, out-of-position detection, intruder detection among others.

Over-the-air (OTA) software updates also allow automakers to add new features long after a vehicle is built, providing added value by reducing development risks and time to market.

The new Insight 400 retains many of the key features of Insight LiDAR’s ground-breaking ultra-high resolution, long-range sensor and has been optimized for long-range rear facing and early ADAS applications. As with the Insight 1600, the Insight 400 delivers instant velocity in every pixel, multiple returns per pixel and industry leading object detection probability in a reduced size and an even lower cost. When combined with the Insight 1600, the Insight 400 enables full 360-degree long-range lidar coverage at a total lidar cost per vehicle of less than $1500; up to 4X cheaper than other solutions.

Insight is able to achieve this industry -leading performance and cost by putting all the key optical components onto Photonic Integrated Circuits (PICs) and sharing most components between the two models.

Key Features:

• Highest resolution on the market enabling safe navigation in a variety of environments
• Instant velocity with every pixel, reducing system latency and improving accuracy
• Small size – 13 cm x 5 cm x 5.5 cm
• Proprietary true solid-state, fast axis scan
• Insight’s patented tunable laser control algorithms for higher pixel count and much higher resolution
• Wide Field of View, enabling full 360-degree coverage at minimal cost

The introduction of the Insight 400 means that Insight LiDAR now is able to offer full long-range, 360-degree lidar coverage around a vehicle at a price of a single 120 degree sensor from competitors.

Leveraging its AI-powered Virtual Aperture Imaging software platform and existing automotive-grade radar hardware, Oculii redefines radar resolution and sensitivity to deliver unparalleled performance at price points several orders of magnitude more affordable than comparable 3D sensors.

Oculii’s revolutionary approach uses AI software to solve this hardware problem.

Oculii’s AI-powered Virtual Aperture Imaging platform dynamically sends out an adaptive, phase-modulated waveform that changes in real time with the environment and then encodes that data over time, increasing the resolution of any radar hardware up to 100X. This improved resolution and sensitivity unlocks the potential of market proven commercial radars by enabling all weather sub-degree horizontal and elevation spatial resolution up to 350 meters around a full 360° field of view.

EAGLE

EAGLE is the world’s highest-resolution commercial 4D imaging radar, delivering joint 0.5° H x 1° V spatial resolution across a wide 120° H / 30° V instantaneous field of view.

• Long-Range, All-Weather Perception: Generating radar images with tens of thousands of pixels per frame, EAGLE tracks targets at more than 350 meters, allowing autonomous systems to safely operate at high speeds and in all-weather conditions.
  
• Unparalleled Spatial Resolution and Target Sensitivity: EAGLE is capable of precisely tracking low-RCS targets, such as pedestrians and motorcyclists, in high multipath-clutter scenarios, enabling autonomous systems to perform complex operations in crowded urban environments.
  
• 8-Chip Performance on a 2-Chip Platform: EAGLE delivers the spatial resolution of an 8-chip cascaded radar (24T32R) on a cost-effective, low-power 2-chip (6T8R) hardware platform. Using cost- and power-efficient DSPs for processing rather than FPGAs, EAGLE consumes less than 5W of total power and is smaller than an index card, enabling discrete integration options that preserve the aesthetics of the autonomous platform.

FALCON

FALCON is the world’s most compact 4D imaging radar, delivering high-resolution performance in a 5cm x 5cm package that is smaller than a business card.

• High-Resolution, Wide Field of View: FALCON delivers 2° horizontal resolution across a wide 120° field of view and can simultaneously measure elevation of the targets as well. Four FALCON sensors fused together can provide a 360° bubble of safety up to 200 meters in all directions and be effective in all environmental conditions.
  
• Low Cost, Low Power, Low Profile: Built on a single-chip (3T4R), low-power, cost-effective hardware platform, FALCON consumes less than 2.5W of power and is smaller than a business card, enabling it to be leveraged effectively in a corner-radar automotive ADAS application or an autonomous robotic application where energy efficiency is critical.

While EAGLE and FALCON are full-stack sensor solutions, Oculii’s Virtual Aperture Imaging platform is hardware agnostic, highly modular, and available for licensing.

The relevance of the company’s game-changing approach to automotive radar was emphasized last week when RADA Electronic Industries Ltd., (Nasdaq: RADA, TASE: RADA) announced its intent to make a $3M investment in RadSee. RADA is a global defense technology company focused on proprietary radar solutions.

The RadSee platform scales to accommodate different autonomy levels – standard, premium and LiDAR-like – that are easily integrated, enabling widespread adoption across the entire spectrum of current and future automotive requirements. RadSee’s technology is available for immediate integration into current ADAS design cycles as well as emerging autonomous vehicles.

Features and benefits of the RadSee 4D automotive imaging radar include:

• Scalable, portable and flexible for quick time-to-market
• Processor-agnostic, automotive-grade COTS implementations (unlike competing ASIC approaches)
• 400-meter range
• Angular resolution of 0.25°
• Static and dynamic object detection in a 120° field of view
• Complete flexibility to fit into existing Tier 1 and OEM systems
• Dramatically reduced development risks
• Small form-factor architecture for easy and elegant design integration

Perrone Robotics is a pioneer in the autonomous vehicle space, having developed one of the first driverless vehicles in 2005 using its patented full-stack autonomous vehicle software platform called “MAX”. The Company subsequently developed a “drop in any vehicle” retrofit kit based on MAX and is used in road worthy all electric transit vans, neighborhood electric vehicles, and tractor trailers for logistics. Dubbed TONY, (TO Navigate You), the kit is capable of Level 4/5 autonomy.  

Perrone Robotics has delivered over 30 different vehicle types for multiple use cases, ranging from logistics to public transportation. The Company recently announced the deployment of an all-electric, fully autonomous, paratransit vehicle to the Jacksonville Transit Authority capable of speeds of up to 65 mph and operable on public roads. 

The Bestmile Fleet Orchestration Platform receives ride requests in real-time, intelligently dispatches vehicles with optimized routes based on traffic and the rides’ destinations. The platform allows mobility providers to control operational and customer experience requirements across multiple service types, including passenger and delivery solutions. The platform continually updates fleet status, traffic, and demand data, always sending the right vehicle to the right place at the right time.  

The Bestmile platform includes a complete suite of operator control systems. It supports mobile applications that can be easily configured, and the platform’s APIs can be used to integrate operator tools and applications. The technology is cloud-based and can manage multiple fleets and locations. 

Plus is the first automated trucking developer to start mass production of its automated driving system, beginning this year. The company is partnered with the largest shippers, carriers, and truck makers, including the world’s largest heavy truck manufacturer, FAW, to deploy automated trucks powered by its automated driving system.

Per the agreement, Ouster will supply a minimum of 2,000 digital lidar sensors to Plus in an initial rollout, and is prepared to aggressively increase its supply over the next five years, having already migrated the majority of its production volume to contract manufacturer Benchmark Electronics in Thailand. Additionally, Ouster will provide engineering support to enable Plus’s automated driving system deployment across multiple continents.

In December, Ouster entered into a definitive merger agreement with Colonnade Acquisition Corp. (NYSE: CLA) (“CLA”) in a transaction that would result in Ouster being listed on the NYSE. The transaction is expected to close in the first half of 2021, subject to satisfaction of customary closing conditions.

Led by CEO and co-Founder, Daniel ES Kim, AUTOCRYPT has garnered the attention of the automotive industry, providing end-to-end vehicle security for connected and autonomous vehicles and surrounding infrastructure. The company currently secures all smart roadways and highways in South Korea, totaling over 5000 kilometers.

Due to a rising demand in autonomous and electric vehicle security technology, AUTOCRYPT also announced the opening of its North American office, located in Toronto, Canada. The new branch will allow for AUTOCRYPT’s V2X and Plug&Charge security solutions to be more widely accessible to testbeds, OEMs, Tier-1 suppliers, and automotive software or service providers located in North America. The company is currently in talks with potential partners in the region and plans to begin active business operations in Q2. With its offices now in South Korea, China, Japan and Canada, AUTOCRYPT is also planning to expand into the United States and Europe in 2021.

The new Xcelsior AV bus is equipped with Robotic Research’s AutoDrive® automated driving system, the eyes and brain of the AV bus, and AutoDrive ByWire® drive-by-wire system, which enables automated throttle, brake, and steering. The AutoDrive® technology is already operating in first-mile/last-mile transit applications across four continents on both mixed traffic, public roadways and corporate and academic campuses.

The Connecticut Department of Transportation (CTDOT) has already announced that it will deploy New Flyer’s Xcelsior AV buses to serve on its CTfastrak bus rapid transit (BRT) route between New Britain and Hartford, anticipated to commence early 2023¹. The CTDOT project is funded by the Federal Transit Administration (FTA) as part of its Integrated Mobility Innovation (“IMI”) initiative. It also is the first scheduled public automated bus application and will operate within the dedicated CTfastrak BRT guideway.

Though the company is only releasing samples for evaluation, Zadar has already made impressive progress in reducing the cost of advanced radar. Production units are expected in the low hundreds of dollars with continued reductions as volumes increase. This price efficiency is essential to scaling robotic technologies such as autonomous driving into the mainstream.

Zadar has already released their mid-range sensor, zSIGNAL, reaching 250 meter range. The sensor is currently under evaluation by several customers in the autonomous vehicle space. Zadar is looking to further support customers in 2021 through the launch of their long-range sensor, zPRIME. The new platform will be capable of 400 meter range with resolution comparable to LiDAR.

Zadar was founded in 2019 by a pair of autonomous vehicle veterans, Mahmoud Saadat and Mo Emadi, after the two met while working at Lyft Level 5, the ride-share company’s autonomous division. CEO Saadat is a Zoox alum as well as Stanford Engineering PhD. CTO Emadi is a leader in the radar industry and led many top projects at Qualcomm before joining Lyft.