Ernest Cheung — accepted AI-conference papers

2020

Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization

Qi Chen, Lin Sun, Ernest Cheung, Alan L. Yuille

NeurIPS 2020poster

Recent voxel-based 3D object detectors for autonomous vehicles learn point cloud representations either from bird eye view (BEV) or range view (RV, a.k.a. the perspective view). However, each view has its own strengths and weaknesses. In this paper, we present a novel framework to unify and leverage…

Cited by 129 Source ↗PDF ↗Scholar ↗

2018

Identifying Driver Behaviors Using Trajectory Features for Vehicle Navigation

Ernest Cheung, Aniket Bera, Emily Kubin, Kurt Gray, Dinesh Manocha

IROS 2018poster

We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of features that can be easily extracted from car trajectories. We derive a data-driven mapping between these features and…

Cited by 54 Source ↗Scholar ↗