LG Electronics

Apex.AI, Inc. is a software company that focuses on developing solutions for autonomous mobility systems, particularly self-driving vehicles. Founded in 2017 and based in Palo Alto, California, the company offers Apex.OS, a software framework that simplifies the complexity of hardware and software integration through user-friendly APIs. Additionally, Apex.AI provides Apex.Autonomy, which is tailored for safety-critical applications, and MARV.Automotive, a versatile data management platform that facilitates data transfer between vehicles and the cloud. This platform allows for advanced analytics, data introspection, and team collaboration. Apex.AI's software products leverage open-source technologies, enabling developers to create secure and efficient applications for autonomous vehicles.

VayaVision Sensing Ltd. is a technology company that specializes in developing perception engine software aimed at enhancing the safety and efficiency of autonomous driving. Founded in 2016 and headquartered in Or Yehuda, Israel, the company offers VAYA-Drive, an artificial intelligence cognition platform that integrates raw data fusion with advanced computer vision techniques. This platform generates comprehensive environmental models, enabling critical functions such as road and free space detection, lane detection, object detection and tracking, and recognition of traffic signs. By utilizing deep learning algorithms, VayaVision delivers a reliable detection and classification system that accurately assesses the size, shape, and velocity of surrounding objects, including small obstacles. This innovative approach not only improves sensing capabilities for autonomous vehicles but also contributes to cost reductions within the automotive industry. Since July 2020, VayaVision has operated as a subsidiary of LeddarTech Inc.

StradVision, Inc. specializes in developing advanced perception algorithms designed to enhance the capabilities of vehicles in recognizing and understanding their surroundings. Founded in 2014 and headquartered in Seoul, South Korea, with additional offices in California, Japan, India, China, and Germany, the company provides solutions such as SVNet External for external vehicle perception and SVNet Internal for monitoring driver and passenger status. StradVision's technology supports advanced driver assistance systems and autonomous vehicle applications, utilizing camera-based perception AI and LiDAR to ensure safety and accuracy in real-time object detection and classification. The company has achieved notable rankings in technology evaluations and holds over 60 issued patents, with more than 150 pending, reflecting its commitment to innovation in the automotive sector. Its auto labeling tool enhances data training efficiency, minimizing the need for human intervention and facilitating the development of reliable self-driving capabilities.

Mcity is an autonomous vehicle research center located on the University of Michigan campus in Ann Arbor, Michigan. It serves as a unique urban test facility that facilitates collaboration among industry, government, and academia to enhance transportation safety, sustainability, and accessibility. Mcity combines early-stage research with real-world testing and on-road vehicle deployments to validate and advance new technologies in the mobility sector. The center is staffed by renowned researchers and aims to contribute to the development of safer and more efficient transportation systems for the benefit of society.

StradVision, Inc. specializes in developing advanced perception algorithms designed to enhance the capabilities of vehicles in recognizing and understanding their surroundings. Founded in 2014 and headquartered in Seoul, South Korea, with additional offices in California, Japan, India, China, and Germany, the company provides solutions such as SVNet External for external vehicle perception and SVNet Internal for monitoring driver and passenger status. StradVision's technology supports advanced driver assistance systems and autonomous vehicle applications, utilizing camera-based perception AI and LiDAR to ensure safety and accuracy in real-time object detection and classification. The company has achieved notable rankings in technology evaluations and holds over 60 issued patents, with more than 150 pending, reflecting its commitment to innovation in the automotive sector. Its auto labeling tool enhances data training efficiency, minimizing the need for human intervention and facilitating the development of reliable self-driving capabilities.