Robotics Perception · Formula Student
ecoRD 2020/21 — Driverless Perception
Camera + LiDAR perception for UPC ecoRacing's first autonomous car — 2nd best driverless vehicle in Spain 2020/21.
Overview
I developed the perception system — camera + LiDAR based — of UPC ecoRacing's first autonomous vehicle, leading to the 2nd best autonomous car at Formula Student Spain 2020/21.
The stack covered camera calibration, mono and stereo computer vision, real-time cone detection and classification, and camera–LiDAR sensor fusion (Velodyne VLP16 + cameras), plus annotation tooling for regression networks and GPU-accelerated inference on a Jetson AGX.
Demo
Autonomous run — real-time cone detection and 3D cone mapping
Highlights
- Camera + LiDAR sensor fusion (Velodyne VLP16)
- Real-time mono & stereo cone detection and classification
- Custom camera calibration and dataset annotation tools
- Deployed on Jetson AGX with CUDA / TensorRT — 🥈 2nd in Spain 2020/21
Gallery
© Víctor Escribano García
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