MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes

no code implementations • 1 Mar 2024 • Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun, Yafeng Guo

In the training stage, the motion prediction task under differentiated scenes is abstracted as a multi-task learning problem, an evolutionary algorithm is designed to encourage the network search of the optimal parameters for each scene while sharing common knowledge between different scenes.

Autonomous Driving motion prediction +1

Interpretable End-to-End Driving Model for Implicit Scene Understanding

no code implementations • 2 Aug 2023 • Yiyang Sun, Xiaonian Wang, Yangyang Zhang, Jiagui Tang, Xiaqiang Tang, Jing Yao

Driving scene understanding is to obtain comprehensive scene information through the sensor data and provide a basis for downstream tasks, which is indispensable for the safety of self-driving vehicles.

Graph Generation object-detection +3