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2004.12591
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VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
IEEE Transactions on Intelligent Vehicles (TIV), 2020
27 April 2020
Peide Cai
Yuxiang Sun
Haoyu Wang
Ming-Yuan Liu
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Papers citing
"VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments"
16 / 16 papers shown
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving
Florian Wintel
Sigmund H. Høeg
G. Kiss
Frank Lindseth
277
3
0
31 May 2025
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
Elahe Delavari
Aws Khalil
Jaerock Kwon
359
2
0
02 Mar 2025
ECAFormer: Low-light Image Enhancement using Cross Attention
Yudi Ruan
Hao Ma
Weikai Li
Xiao Wang
373
5
0
19 Jun 2024
End-to-end Autonomous Driving: Challenges and Frontiers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Guoying Gu
3DV
509
713
0
29 Jun 2023
Reducing Overconfidence Predictions for Autonomous Driving Perception
IEEE Access (IEEE Access), 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
423
14
0
16 Feb 2022
Domain Generalization for Vision-based Driving Trajectory Generation
IEEE International Conference on Robotics and Automation (ICRA), 2021
Yunkai Wang
Dongkun Zhang
Yuxiang Cui
Zexi Chen
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
208
5
0
22 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yuan Liu
AI4TS
294
20
0
17 Sep 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yuan Liu
GNN
326
53
0
11 Aug 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2021
Peide Cai
Hengli Wang
Huaiyang Huang
Yuxuan Liu
Ming-Yuan Liu
192
78
0
18 Jul 2021
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang
Peide Cai
Rui Fan
Yuxiang Sun
Ming-Yuan Liu
225
26
0
18 Apr 2021
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation
IEEE International Conference on Robotics and Automation (ICRA), 2021
Hengli Wang
Peide Cai
Yuxiang Sun
Lujia Wang
Ming-Yuan Liu
198
55
0
18 Apr 2021
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
IEEE International Conference on Robotics and Automation (ICRA), 2021
Hengli Wang
Yuxiang Sun
Rui Fan
Ming-Yuan Liu
SSL
255
3
0
18 Mar 2021
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars
Xiaodong Mei
Yuxiang Sun
Yuying Chen
Congcong Liu
Ming-Yuan Liu
SSL
GNN
157
8
0
01 Feb 2021
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
IEEE Robotics and Automation Letters (RA-L), 2020
Yunkai Wang
Dongkun Zhang
Jingke Wang
Zexi Chen
Yue Wang
R. Xiong
264
19
0
20 Oct 2020
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
Dooseop Choi
Seung-Jun Han
Kyoung‐Wook Min
Jeongdan Choi
GAN
241
5
0
08 Jul 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
IEEE Robotics and Automation Letters (RA-L), 2020
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yuan Liu
272
72
0
05 May 2020
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