We make mobility safe, cheap, and robust in any condition.

World’s first dedicated AI for radar perception, enabling autonomous vehicles from cars to robots to understand their environment.

LiDAR-like performance. Fraction of the cost.
Any radar. Any circumstances.

Unleash your Radars with Perciv AI

Expensive sensors, such as LiDARs drive up costs for automated vehicles and robotics. Perciv AI cuts these expenses by replacing LiDARs with next-generation AI-driven radar and radar-camera fusion technology.


Our technology improves safety by reducing accidents and enabling more reliable autonomous systems, even in challenging conditions such as harsh weather. Our affordable, privacy-safe solution democratize autonomous technology by making perception safe, reliable, and affordable.

Years of state-of-the-art Radar AI Research

  • Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset

    Read here

  • 3+1D Radar and Camera based Point Cloud Estimation for 3D Road User Detection

    Read here

  • CNN Based Road User Detection Using the 3D Radar Cube

    Read here

  • Occlusion-aware sensor fusion for early crossing pedestrian detection.

    Read here

Any radar, any use case, any environment

Perciv AI‘s radar perception software can be deployed for various automated vehicles and systems, such as cars, trucks, tractors, robots, or smart cities, to understand their environments even in harsh circumstances, increasing safety for both the passengers and surroundings. 

By providing a software product compatible with any radar and offering modular features such as object detection, drivable surface estimation, ego-motion estimation, or point cloud segmentation, Perciv AI can address any perception use case in any automated system.

Our Expertise

From sensor selection to the downstream perception task evaluation, Perciv AI can handle it all.

Partners

  • Abz Innovation
  • Yes Delft
  • Nvidia Inception
  • tu delft logo
  • NWO LOGO
  • Delft Enterprises logo
  • provinci Zuid-Holland
  • Horizon2020
  • RvO
  • Robo House logo
  • Philips Innovation Award

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