2 papers
cs.CV2019
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…
cs.LG2018
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Jungwook Lee, Sean Walsh, Ali Harakeh +1
Training 3D object detectors for autonomous driving has been limited to small datasets due to the effort required to generate annotations. Reducing both task complexity and the amo…