21 citations · 21 across the 3 of their papers we have counts for
4 papers
Object-Centric Stereo Matching for 3D Object Detection
Alex D. Pon, Jason Ku, Chengyao Li +1
Safe autonomous driving requires reliable 3D object detection-determining the 6 DoF pose and dimensions of objects of interest. Using stereo cameras to solve this task is a cost-ef…
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
Jason Ku, Alex D. Pon, Sean Walsh +1
Accurately estimating the orientation of pedestrians is an important and challenging task for autonomous driving because this information is essential for tracking and predicting p…
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
Jason Ku, Alex D. Pon, Steven L. Waslander
We present MonoPSR, a monocular 3D object detection method that leverages proposals and shape reconstruction. First, using the fundamental relations of a pinhole camera model, dete…
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
Alex D. Pon, Oles Andrienko, Ali Harakeh +1
Traffic light and sign detectors on autonomous cars are integral for road scene perception. The literature is abundant with deep learning networks that detect either lights or sign…