most citedTrajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

82 citations · 94 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2023

LimSim: A Long-term Interactive Multi-scenario Traffic Simulator

Licheng Wen, Daocheng Fu, Song Mao +4

With the growing popularity of digital twin and autonomous driving in transportation, the demand for simulation systems capable of generating high-fidelity and reliable scenarios i…

cs.RO2023

Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles

Xiaoliang Ju, Yiyang Sun, Yiming Hao +3

We propose a perception imitation method to simulate results of a certain perception model, and discuss a new heuristic route of autonomous driving simulator without data synthesis…

cs.CV2022★ 1 cited

Planning-oriented Autonomous Driving

Yihan Hu, Jiazhi Yang, Li Chen +13

Modern autonomous driving system is characterized as modular tasks in sequential order, i.e., perception, prediction, and planning. In order to perform a wide diversity of tasks an…

cs.CV2022★ 7 cited

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot

Li Chen, Tutian Tang, Zhitian Cai +6

Equipped with a wide span of sensors, predominant autonomous driving solutions are becoming more modular-oriented for safe system design. Though these sensors have laid a solid fou…

cs.CV2022★ 82 cited

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

Penghao Wu, Xiaosong Jia, Li Chen +3

Current end-to-end autonomous driving methods either run a controller based on a planned trajectory or perform control prediction directly, which have spanned two separately studie…

cs.CV2022★ 4 cited

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

Li Chen, Chonghao Sima, Yang Li +8

Methods for 3D lane detection have been recently proposed to address the issue of inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.). Previo…