VectoIQ

Azumo front light is here to light the way to the new era of high efficiency, durable displays that don’t fight the environment but work in tandem with it. The time has come for all of us to reflect on what displays can do for devices.

Oculii Corp., based in Beavercreek, Ohio, specializes in developing advanced radar sensors and AI software for various applications, including intelligent transportation, automotive, aerial, and consumer sectors. The company's key products are radar sensors that provide real-time 4D tracking information, enabling accurate 3D positioning and speed detection. These sensors are used in automotive safety systems, traffic management, airborne and medical applications, as well as automated speed enforcement systems. Oculii's innovative Virtual Aperture Imaging radar technology enhances radar resolution without increasing the physical size of the sensor, making it more affordable and scalable. The company collaborates with industry leaders to deliver high-performance, all-weather, and low-cost perception technology for autonomous systems.

Founded in 2012, Luminar Technologies is a leading provider of advanced driver assistance systems for vehicles. The company specializes in designing, manufacturing, and selling LiDAR sensors and related perception software solutions, primarily serving original equipment manufacturers in the automobile, commercial vehicle, robo-taxi, and adjacent industries.

TuSimple operates self-driving trucks in Tucson, Arizona, with a focus on developing fully-autonomous driving solutions for the logistics industry. Founded in 2015, the company aims to enhance safety, reduce transportation costs, and decrease carbon emissions.

Founded in 2016, GuardKnox is an automotive technology company specializing in high-performance, customizable, and secure-by-design products. Based in Israel with subsidiaries in Munich and Detroit, the company develops scalable technologies for full vehicle connectivity and empowers consumers to customize their driving experience.

Fleetonomy LTD is a technology company based in Tel Aviv, Israel, that specializes in the design and development of an end-to-end platform for managing fleets of autonomous vehicles. As a subsidiary of Via Transportation, Inc., the company provides auto manufacturers and mobility service providers with advanced tools to optimize fleet operations and enhance strategic decision-making. Fleetonomy's AI-driven platform facilitates the planning, launching, and scaling of customized ridesharing and other mobility services, enabling clients to improve operational efficiency, reduce costs, and develop new revenue streams. By focusing on maximizing fleet management capabilities, Fleetonomy supports vehicle fleets and logistical enterprises in adapting to the evolving landscape of smart mobility services.

Nervtech is a high-tech research and development company focused on innovative vehicle simulation technologies aimed at biometric and cognitive driver evaluation, machine learning, and data integration. Its flagship product, a patented 4DOF-motion compact driving simulator, provides a realistic driving experience that is crucial for simulator analytics, driver evaluation, and training. The simulator can be configured with three large external screens or used with virtual reality headsets, making it easily transportable and quick to set up at various locations. It features diverse driving environments, including rural roads, snowy mountains, highways, and complex urban areas, and can simulate unusual or dangerous driving scenarios. The platform integrates advanced driver assistance systems and supports fully autonomous driving capabilities, allowing for customizable cockpit displays and external hardware components. Additionally, it incorporates medical-grade physiological sensors to monitor drivers' biometric signals, enabling the detection of distraction, stress, and cognitive workload through proprietary algorithms. Nervtech's primary research objective is to develop methodologies for transferring human driving knowledge to autonomous vehicles, enhancing their ability to manage complex and unpredictable driving conditions by incorporating human cognitive processes.