TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection

no code implementations • 17 Sep 2024 • Philip Jacobson, Yichen Xie, Mingyu Ding, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Ming C. Wu

Semi-supervised 3D object detection is a common strategy employed to circumvent the challenge of manually labeling large-scale autonomous driving perception datasets.

3D Object Detection Motion Forecasting +3

Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects

no code implementations • 26 Sep 2022 • Philip Jacobson, Yiyang Zhou, Wei Zhan, Masayoshi Tomizuka, Ming C. Wu

In this work, we propose a novel approach Center Feature Fusion (CFF), in which we leverage center-based detection networks in both the camera and LiDAR streams to identify relevant object locations.

Autonomous Vehicles Object +3