VectoIQ

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Oculii develops advanced AI software for radar systems, aiming to enhance resolution, range, and accuracy while reducing costs compared to traditional solutions. Its technology is essential for the advancement of autonomous vehicles, which require reliable and high-performance perception capabilities in all weather conditions. By utilizing Virtual Aperture Imaging, Oculii's software allows existing radar hardware to achieve higher angular resolution without the need for increased physical antenna count. This innovation enables the extraction of detailed 4D positioning information from low-cost, off-the-shelf radar components, paving the way for improved radar imaging. Oculii collaborates with leading companies in autonomous vehicles, robotics, and drones, positioning itself as a key player in the development of affordable and effective perception technologies for the future of autonomy.

Luminar Technologies, Inc. is a vehicle sensor and software company based in Orlando, Florida, specializing in safety and autonomous technology for passenger vehicles and trucks. Founded in 2012, the company operates through two primary segments. The Autonomy Solutions segment focuses on designing, manufacturing, and selling lidar sensors along with related perception and autonomy software for original equipment manufacturers in various sectors, including automotive, commercial vehicles, and robo-taxis. Meanwhile, the Other Component Sales segment provides design, testing, and consulting services for non-standard integrated circuits, primarily serving government agencies and defense contractors. Luminar's advanced driver assistance systems enhance safety by offering detection capabilities for both low and high-speed driving scenarios.

TuSimple is a self-driving truck company founded in 2015 and headquartered in San Diego, California. The company operates autonomous trucks primarily in Tucson, Arizona, and is focused on developing a fully autonomous driving solution for the logistics sector. TuSimple's technology enables trucks to drive from depot to depot without human intervention, aiming to enhance safety, reduce transportation costs, and lower carbon emissions. It has established the Autonomous Freight Network (AFN) through partnerships with shippers, carriers, railroads, and other stakeholders in the freight industry. TuSimple generates revenue by providing freight capacity services, with operations spanning across the U.S. and the Asia-Pacific region.

GuardKnox is an automotive technology company specializing in high-performance, secure, and customizable products for driver-centric mobility. Established in 2016 and headquartered in Israel, with additional locations in Munich, Germany, and Detroit, Michigan, GuardKnox focuses on developing scalable technologies for software-defined vehicles. The company's platform enhances vehicle connectivity and allows consumers to customize both performance and in-vehicle experiences. By offering secure design and high-speed firmware, GuardKnox enables clients to create applications and services efficiently, reducing time to market while maintaining cost-effectiveness.

Fleetonomy LTD, based in Tel Aviv, Israel, specializes in developing an end-to-end platform aimed at planning, operating, and optimizing fleets of autonomous vehicles. The company provides auto manufacturers and mobility service providers with AI-driven tools to enhance fleet management and launch customized ridesharing services. Fleetonomy's platform focuses on maximizing operational efficiency, reducing costs, and generating new revenue streams through innovative smart mobility services. As of October 1, 2020, Fleetonomy operates as a subsidiary of Via Transportation, Inc.

Nervtech is a high-tech R&D company specializing in vehicle simulator technologies in the fields of biometric and cognitive driver evaluation, machine learning and data integration. Nervtech’s patented 4DOF-motion compact driving simulator offers a real-life driving experience for simulator analytics and driver evaluation and training. The simulation can run on a configuration with three big external screens or with VR headset (Oculus Rift or HTC Vive). It can be easily transported to any location and set-up in a very short time. The simulation platform includes a variety of driving environments, from country side roads, snowy mountains, different highways and complex city centres. Unusual and dangerous behaviour can also be created providing critical and highly demanding driving situations and events. The platform provides also a set of ADAS elements (lane assist, emergency braking, adaptive cruise control, etc.) or fully autonomous driving. The cockpit of the driven vehicle is displayed on the screens and can be changed/modified freely to add new dashboard or IVIS elements (head-up display, dashboard display, different types of lights and indicators). External HW components can also be integrated into the system providing new types of input modalities. The platform includes also a set of physiological and biometrical medical grade sensors for measuring driver’s signals such as HR, GSR, body temperature, pupil diameter, gaze position, etc. Proprietary algorithms for detection of distraction, stress or cognitive workload are also provided. Nervtech’s main R&D goal is to develop techniques and procedures for the transfer of knowledge from human driver to self-driving machine. Consequentially autonomous vehicles will be able more efficiently handle complex and unpredictable driving situations by taking into account also human cognition and intuition-based decision-making.