The Future of Road Safety is Affordable and Robust.
AI for Radars
Perciv offers AI based software solutions to unleash the hidden capabilities of radars and enable robust and affordable autonomous systems, with Lidar-like performance.
Radars can do more
The long-trusted, reliable sensor modality can continue to serve safety and autonomy, better.
Advanced Data-Processing (Radar Cube, AI)
Radars in the market today are capable of doing more with:
Advanced data processing - AI, together with classical methods
Exploiting the low-level radar data such as radar cube
Imaging Radars (4D)
The next-generation radars can challenge LiDARs:
3D point cloud with instant velocity (4D) packs rich information
Improved resolution and field-of-view for better performance
Unleash your Radars with Perciv.ai
State-of-the-art and AI-driven Software
Our team has conducted state-of-the-art research on automotive radars including radar point clouds, radar cubes and custom-designed neural networks for range-doppler data.
Perciv AI can develop cutting-edge algorithms and custom methods (single sensor or sensor fusion) to boost the perception capability of your radar hardware.
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CNN Based Road User Detection Using the 3D Radar Cube
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Occlusion-aware sensor fusion for early crossing pedestrian detection.
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Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset
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3+1D Radar and Camera based Point Cloud Estimation for 3D Road User Detection
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Radars can serve as a reliable modality to detect drivable space around the ego-vehicle
Our Expertise
From sensor selection to the downstream perception task evaluation, Perciv.ai handles it all.
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