Description
Mobileye is at the forefront of automobility, pioneering advanced driver-assistance systems (ADAS) and autonomous driving technologies. With over 200 million Mobileye-enabled vehicles on the road, the company leverages AI to perceive, reason, and act, ensuring safer roads and shaping the future of autonomous driving. Mobileye's modular automotive product portfolio includes solutions like Mobileye Base ADAS, Mobileye SuperVision, and Mobileye Drive, which range from hands-on driver assistance to fully autonomous vehicles. Their approach to physical AI addresses real-world complexities with a unified stack that combines cutting-edge AI, scalable algorithms, and mathematical safety models. Mobileye's purpose-built hardware and computer vision technology are designed for automotive applications, driving more with less power and cost. The company's commitment to safety is evident in their edge-case led learning and scale-first engineering. Mobileye continues to innovate with initiatives like the vertically integrated robotaxi business and partnerships with major automotive manufacturers. Their solutions are ideal for industries seeking to enhance vehicle safety and efficiency through AI-driven technologies.
Mobileye Driver Assist Technologies's Core Features
Advanced driver-assistance systems
Autonomous driving technologies
Modular automotive product portfolio
AI-powered perception and reasoning
Hands-on/off driver assistance
Fully autonomous vehicle solutions
Purpose-built hardware
Worldwide mapping capabilities
Edge-case led learning
Scale-first engineering
Computer vision technology
Mathematical safety models
Cloud-enhanced ADAS
Learned driving policy
Unified AI stack
How to use Mobileye Driver Assist Technologies?
Explore: Discover Mobileye's product offerings
Configure: Set up the desired driver-assistance system
Implement: Integrate Mobileye technology into vehicles
Optimize: Enhance vehicle safety and efficiency
Mobileye Driver Assist Technologies's Use Cases
- Driver Assistance
- Autonomous Vehicles
- Safety Enhancement
- Automotive Innovation
- Edge-case Learning






