3D-like Bounding Box for Vehicle Detection
Chao Wang, Lukuan Zhou, Jun Li, Wankou Yang · 2019
In this work, we propose a 3D-like bounding box to detect vehicles in RGB image based on the 2D bounding box detection. Taking advantage of key-points detection by detecting eight corners of the 3D box surrounding the vehicle, our 3D-like bounding box is capable of estimating the vehicle position more accurately than traditional object detection methods, while provides the information of the front and back of the vehicle or even the orientation that is of great help in advanced driver assistance system. We present two improved strategies for data annotation to evaluate the proposed method. The experiments on KITTI object detection database show that our presented two strategies exhibit promising performance.