rui-qian/BANet
Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)
This project helps autonomous vehicle engineers and researchers accurately identify and locate objects in 3D space from raw sensor data. It takes in point cloud data, typically from LiDAR sensors, and outputs precise bounding boxes around objects like cars, pedestrians, and cyclists. This improves the vehicle's perception of its surroundings for safer and more reliable navigation.
Use this if you need to detect 3D objects with high precision and speed for autonomous driving applications.
Not ideal if your primary need is for 2D image-based object detection or if you are not working with point cloud data.
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Feb 12, 2026
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