Search Results for author: Ke Guo

Found 3 papers, 2 papers with code

LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation

no code implementations26 Mar 2024 Ke Guo, Zhenwei Miao, Wei Jing, Weiwei Liu, Weizi Li, Dayang Hao, Jia Pan

Due to the covariate shift issue, existing imitation learning-based simulators often fail to generate stable long-term simulations.

Imitation Learning

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

1 code implementation2 Aug 2023 Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu

Building a multi-modality multi-task neural network toward accurate and robust performance is a de-facto standard in perception task of autonomous driving.

Autonomous Driving

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

1 code implementation CVPR 2022 Ke Guo, Wenxi Liu, Jia Pan

In this paper, we aim to forecast a future trajectory distribution of a moving agent in the real world, given the social scene images and historical trajectories.

Trajectory Prediction

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