Transportation systems that operate with minimal or no human input depend on tightly integrated AI, sensing, and control technologies. This topic covers a broad range of platforms including passenger cars, trucks, delivery vehicles, shuttles, and specialized autonomous machines. It explores core technologies such as perception, localization, planning, and control, as well as deployment challenges related to safety, infrastructure, and regulation. Autonomous vehicles span both consumer and industrial applications, making them a central focus of AI-driven mobility. As autonomy expands beyond pilots, these systems continue to shape the future of transportation and logistics.
Overland AI has secured $100 million in new funding as militaries accelerate the shift from testing autonomous ground vehicles to deploying them directly with operational units.
Waymo has secured $16 billion in new funding to expand its autonomous ride-hailing service, accelerate fleet deployment, and support international launches in Europe and Asia.
Tesla is signaling a strategic pivot away from its Model S and Model X vehicles as it prioritizes investment in autonomous driving systems and its Optimus humanoid robot program.