BEVFusion implementation in ROS2
-
Updated
Apr 15, 2025 - C++
BEVFusion implementation in ROS2
Check whether the sensor calibration on your robot is still right: one command, honest per-axis verdicts for LiDAR, IMU, camera, GNSS, and vehicle.
We utilize sensors, such as camera and lidar, in order to acquire information of our environment. Fusion of data from sensors allows you to identify objects in a scene. Cam2lidar converts data from these 2 sensors into the same coordinate system.
Simple-2D-LiDAR-camera-projection
Camera-LiDAR cross-modal matching for edge devices: pretrained matchers, targetless calibration, ONNX/TensorRT export, training, and one-shot adaptation.
LiDAR-camera perception, calibration/sync robustness, PointPillars evaluation, and bounded TensorRT deployment benchmarking.
To associate your repository with the camera-lidar topic, visit your repo's landing page and select "manage topics."