Mobileye Drive Context

Market context

Mobileye Drive is Mobileye self-driving system for autonomous mobility services and vehicle platforms, combining perception, mapping, policy and driving software.

  • Target environment: Urban roads, highways and autonomous vehicle operational domains.
  • Workflow context: Autonomous driving, perception-based navigation, mapping and policy-based control for AV mobility services and vehicle platforms.
  • Customer context: Autonomous vehicle developers, mobility service operators and automotive OEMs.
  • Deployment model: Commercial AV software platform from a publicly traded company.
  • Commercial maturity: Mature autonomous driving platform with broad industry adoption and real-world testing.
  • Adoption constraints: Software-layer product requiring integration with vehicle hardware. Performance depends on sensor suite and operational domain.
  • Market position: Major autonomous driving software platform from a publicly traded company. Sits in the autonomous vehicle software infrastructure layer rather than as a robot product.
  • Adjacent products: Autonomous driving platforms, AV software stacks

Audience

Auto OEMs

Workflow

Autonomous driving, perception-based navigation, mapping and policy-based control for AV mobility services and vehicle platforms.

Deployment environment

Urban roads, highways and autonomous vehicle operational domains.

Specifications

  • Architecture: 4 EyeQ6H systems; REM, RSS and True Redundancy
  • Sensor System: Sample configuration: 13 cameras; Imaging radars and lidars
  • Product Role: Driverless system for autonomous MaaS
  • Features: Robotaxis, ride-pooling, public transport and goods delivery
  • Deployment Model: System for automakers and transportation operators
  • Autonomy Model: Self-driving technology stack
  • Operational Environment: Autonomous road mobility
  • System Role: Autonomy software
  • Use Cases: Self-driving
  • Operating Environment: Configured product operating environment

View Mobileye Drive overview