Search Results for author:
Found 4 papers, 2 papers with code
Object-Centric Stereo Matching for 3D Object Detection
The issue with existing stereo matching networks is that they are designed for disparity estimation, not 3D object detection; the shape and accuracy of object point clouds are not the focus.
3D Object Detection From Stereo Images
Autonomous Driving
+5
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
Accurately estimating the orientation of pedestrians is an important and challenging task for autonomous driving because this information is essential for tracking and predicting pedestrian behavior.
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
We present MonoPSR, a monocular 3D object detection method that leverages proposals and shape reconstruction.
Ranked #13 on
Vehicle Pose Estimation
on KITTI Cars Hard
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
The root cause of this issue is that no public dataset contains both traffic light and sign labels, which leads to difficulties in developing a joint detection framework.
