BEVFusion implementation in ROS2
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Updated
Apr 15, 2025 - C++
BEVFusion implementation in ROS2
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
LiDAR-camera perception, calibration/sync robustness, PointPillars evaluation, and bounded TensorRT deployment benchmarking.
Camera-LiDAR cross-modal matching for edge devices: pretrained matchers, targetless calibration, ONNX/TensorRT export, training, and one-shot adaptation.
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