Atlas Ultra 4D LiDAR Context

Market context

Atlas Ultra is Aeva's FMCW 4D LiDAR sensor for long-range autonomy programs that need range, velocity, and interference-resilient perception in one sensing layer.

  • Target environment: Automated-driving programs, high-speed autonomy platforms, automotive validation fleets, and advanced mobile-machine perception stacks.
  • Workflow context: Long-range object detection, velocity-aware perception, sensor fusion, safety envelope monitoring, and autonomy validation for systems operating at vehicle speeds.
  • Customer context: Automotive OEMs, autonomous-vehicle developers, Tier 1 perception integrators, and robotics teams building high-speed outdoor autonomy stacks.
  • Deployment model: Component integration into autonomy sensor suites, typically as part of a broader camera, radar, LiDAR, compute, and perception-software architecture.
  • Commercial maturity: Commercial LiDAR product positioned for automotive and autonomy programs that need long-range velocity-aware perception.
  • Adoption constraints: Adoption depends on platform qualification, cost, sensor-fusion integration, automotive validation cycles, and proving performance advantages against incumbent LiDAR and radar…
  • Market position: Long-range FMCW LiDAR product in the perception layer for robotics, automated mobility, and high-speed autonomy.
  • Adjacent products: Phoenix Perception Radar, JT16 Mini 3D LiDAR, MTi-680G GNSS/INS

Audience

Auto OEMs

Workflow

Long-range object detection, velocity-aware perception, sensor fusion, safety envelope monitoring, and autonomy validation for systems operating at vehicle speeds.

Deployment environment

Automated-driving programs, high-speed autonomy platforms, automotive validation fleets, and advanced mobile-machine perception stacks.

Specifications

  • Range To 10 Percent: 250 m
  • Field Of View Hv: 120 degrees horizontal x 25 degrees vertical
  • Operating Temperature: -40 C to 85 C
  • Velocity Detection: Per-point Doppler velocity
  • Safety: Automotive-grade ISO 26262 ASIL-B (D) functional-safety positioning

Tags

  • Peer Group: Lidar Systems
  • Workflow: Robot perception, Mobile Robot Navigation
  • Capability: Lidar Mapping
  • Stack Layer: Sensing stack, Robot perception-sensor stack

Comparable Systems

View Atlas Ultra 4D LiDAR overview