Search Results for author: Jinghao Miao

Found 6 papers, 1 papers with code

Emergency Vehicles Audio Detection and Localization in Autonomous Driving

no code implementations30 Sep 2021 Hongyi Sun, Xinyi Liu, Kecheng Xu, Jinghao Miao, Qi Luo

Hence, all other vehicles are supposed to take proper actions to yield emergency vehicles with active sirens.

Autonomous Driving

Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization

no code implementations2 Mar 2021 Jinyun Zhou, Rui Wang, Xu Liu, Yifei Jiang, Shu Jiang, Jiaming Tao, Jinghao Miao, Shiyu Song

Detailed ablation and visualization analysis are included to further demonstrate each of our proposed modules' effectiveness in our method.

Autonomous Driving Data Augmentation +1 Robotics

A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment

no code implementations9 Nov 2020 Yu Wang, Shu Jiang, Weiman Lin, Yu Cao, Longtao Lin, Jiangtao Hu, Jinghao Miao, Qi Luo

This paper presents the design of a tune-free (human-out-of-the-loop parameter tuning) control framework, aiming at accelerating large scale autonomous driving system deployed on various vehicles and driving environments.

Autonomous Driving Bayesian Optimization

Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

1 code implementation ECCV 2020 Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe

The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unified framework solving image encoding, spatial transform of features and 3D lane prediction in a single network.

3D Lane Detection Image Segmentation +1

Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes

no code implementations29 Sep 2019 Jiacheng Pan, Hongyi Sun, Kecheng Xu, Yifei Jiang, Xiangquan Xiao, Jiangtao Hu, Jinghao Miao

The practicability and interpretability analysis of the model shows great potential for large-scale deployment in various autonomous driving systems in addition to our own.

Autonomous Driving

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