Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving

1 code implementation • 19 Dec 2023 • Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai

To resolve this problem, we propose to regulate intermediate dense 3D features with the help of volume rendering.

Autonomous Driving

Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration

no code implementations • 16 Oct 2023 • Jie Tang, Bin He, Junkai Xu, Tian Tan, Zhipeng Wang, Yanmin Zhou, Shuo Jiang

The proposed method simplifies fall detection data acquisition experiments, provides novel venue for generating low cost synthetic data in scenario where acquiring data for machine learning is challenging and paves the way for customizing machine learning configurations.

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

1 code implementation • ICCV 2023 • Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

To the best of our knowledge, this work is the first to introduce volume rendering for M3D, and demonstrates the potential of implicit reconstruction for image-based 3D perception.

Monocular 3D Object Detection Object +1

Learning Occupancy for Monocular 3D Object Detection

1 code implementation • 25 May 2023 • Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

Monocular 3D detection is a challenging task due to the lack of accurate 3D information.

Monocular 3D Object Detection Object +1