Self-driving technology has moved from research tracks to public roads. The companies below build the perception, prediction, and planning systems that let vehicles navigate the world without a human at the wheel.
Self-driving technology is rapidly advancing. These companies are developing the AI systems that power autonomous vehicles, from passenger cars to delivery robots and trucks.
NVIDIA
Santa Clara, United States
NVIDIA is the world leader in AI computing hardware and software. Creator of CUDA, cuDNN, and the dominant GPU platform for AI training and inference.
Tesla AI
Palo Alto, United States
Tesla AI engineers end-to-end neural networks powering its Autopilot driver-assistance system and the development of its Full Self-Driving (FSD) capability, utilizing a massive fleet-collected dataset for training and validation. Key innovations include advanced computer vision based on video prediction and a data-centric approach to AI model improvement, exemplified by the recent move to fully convolutional networks for FSD. Beyond automotive applications, Tesla AI is developing Optimus, a general-purpose humanoid robot intended for automated tasks, leveraging similar AI infrastructure and computer vision techniques.
John Deere AI
Moline, United States
John Deere AI develops intelligent solutions for agricultural and construction equipment, most notably its autonomous 8R and 9R tractor platforms and the See & Spray™ Ultimate technology. Utilizing computer vision and machine learning, See & Spray™ selectively identifies and targets weeds in-season, reducing herbicide use by up to 80%. These innovations are targeted towards large-scale agricultural operations seeking to improve efficiency, reduce input costs, and promote sustainable farming practices, and have earned John Deere recognition for its advancements in precision agriculture technology.
Baidu AI
Beijing, China
Baidu is a Chinese technology company and search leader whose AI work includes the ERNIE large language models, the Apollo autonomous-driving platform, and a broad AI cloud business.
FANUC
Oshino, Japan
FANUC is a Japanese multinational corporation specializing in factory automation solutions, including industrial robots, CNC systems, and related technologies. They integrate AI and IoT capabilities into their core product lines – FA (factory automation), Robots, and Robomachines – to enhance efficiency and performance for manufacturing processes. FANUC primarily serves a global industrial market, offering a unique value proposition through lifetime product support and a commitment to long-term automation solutions.
Symbotic
Wilmington, United States
Symbotic develops end-to-end warehouse automation systems utilizing a fleet of fully autonomous robots and AI-powered software. Their technology orchestrates a high-density robotic system to improve efficiency, speed, and flexibility within warehouse operations. Symbotic targets large-scale consumer goods distributors and retailers seeking to address labor challenges, reduce operating costs, and optimize inventory management within increasingly complex supply chains.
Mobileye
Jerusalem, Israel
Mobileye develops and deploys vision-based advanced driver-assistance systems (ADAS) and autonomous driving solutions for the automotive industry. Their core technology centers around computer vision powered by machine learning, specifically utilizing System-on-a-Chip (SoC) designs for scalable and safe deployment. With over 200 million SoCs deployed, Mobileye partners with leading automakers to deliver both current ADAS features and future driverless capabilities.
Cruise
San Francisco, United States
Cruise developed autonomous-vehicle technology and operated a robotaxi service. In December 2024 majority owner GM ended funding for Cruise's robotaxi business and folded the team into GM to focus on driver-assistance and personal-vehicle autonomy; GM took full ownership in 2025.
Waymo
Mountain View, United States
Waymo is an autonomous driving technology company developing self-driving vehicles. Operates robotaxi services in Phoenix and San Francisco.
Aurora Innovation
Pittsburgh, United States
Aurora Innovation develops the Aurora Driver, a full-stack self-driving system designed for long-haul trucking. Utilizing a combination of lidar, radar, and high-resolution cameras, coupled with their “Verifiable AI” safety framework, the Aurora Driver aims to enhance both the safety and efficiency of freight transportation. Currently, Aurora is operating autonomous trucks hauling customer loads in Texas and is focused on integrating its technology directly into existing freight operations to enable near 24/7 operation.
Frequently asked questions
How do self-driving cars use AI?
Autonomous vehicles fuse data from cameras, radar, and lidar, then use AI models to perceive surroundings, predict the behavior of others, and plan safe driving maneuvers in real time.
What are the levels of autonomous driving?
Autonomy is graded from Level 0 (no automation) to Level 5 (full self-driving in all conditions). Most deployed systems today operate at Levels 2 to 4 within defined areas.
Are robotaxis available to the public?
Yes, in select cities. Several companies operate commercial driverless ride-hailing within geofenced service areas, with coverage expanding gradually.
What is holding back full autonomy?
Handling rare "edge case" scenarios safely, regulatory approval, and public trust remain the primary hurdles to ubiquitous Level 5 driving.