no code implementations • 31 Dec 2020 • Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang
In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide attention.
no code implementations • 11 Mar 2020 • Chengyao Li, Jason Ku, Steven L. Waslander
To tackle these two issues, we propose CG-Stereo, a confidence-guided stereo 3D object detection pipeline that uses separate decoders for foreground and background pixels during depth estimation, and leverages the confidence estimation from the depth estimation network as a soft attention mechanism in the 3D object detector.
3D Object Detection From Stereo Images Autonomous Driving +3
no code implementations • 18 Sep 2019 • Chengyao Li, Steven L. Waslander
In this paper, we propose a novel approach inspired by RAIM to monitor the integrity of optimization-based visual localization and calculate the protection level of a state estimate, i. e. the largest possible translational error in each direction.
no code implementations • 17 Sep 2019 • Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
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