84 citations · 109 across the 5 of their papers we have counts for
5 papers
StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction
Jiaheng Zhuang, Guoan Wang, Siyu Zhang +5
3D multi-object tracking and trajectory prediction are two crucial modules in autonomous driving systems. Generally, the two tasks are handled separately in traditional paradigms a…
MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction
Chen Feng, Hangning Zhou, Huadong Lin +5
Predicting the future behavior of agents is a fundamental task in autonomous vehicle domains. Accurate prediction relies on comprehending the surrounding map, which significantly r…
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking
Xiyang Wang, Chunyun Fu, Jiawei He +6
In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve…
Hierarchical Normalization for Robust Monocular Depth Estimation
Chi Zhang, Wei Yin, Zhibin Wang +3
In this paper, we address monocular depth estimation with deep neural networks. To enable training of deep monocular estimation models with various sources of datasets, state-of-th…
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
Yuting Wang, Hangning Zhou, Zhigang Zhang +10
This technical report presents an effective method for motion prediction in autonomous driving. We develop a Transformer-based method for input encoding and trajectory prediction.…