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2020 – today
- 2022
[j10]Sukai Wang
, Peide Cai, Lujia Wang, Ming Liu:
Correcton to "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World". IEEE Robotics Autom. Lett. 7(4): 10737 (2022)- [j9]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks. IEEE Trans. Intell. Transp. Syst. 23(11): 21102-21112 (2022) - [c8]Hengli Wang, Rui Fan, Peide Cai, Ming Liu, Lujia Wang:
UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation. ICRA 2022: 1-7 - [c7]Sukai Wang, Jianhao Jiao, Peide Cai, Lujia Wang:
R-PCC: A Baseline for Range Image-based Point Cloud Compression. ICRA 2022: 10055-10061 - 2021
- [j8]Yuxiang Sun, Weixun Zuo, Huaiyang Huang, Peide Cai, Ming Liu:
PointMoSeg: Sparse Tensor-Based End-to-End Moving-Obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving. IEEE Robotics Autom. Lett. 6(1): 510-517 (2021) - [j7]Sukai Wang, Peide Cai, Lujia Wang, Ming Liu:
DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World. IEEE Robotics Autom. Lett. 6(2): 3397-3404 (2021) - [j6]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching. IEEE Robotics Autom. Lett. 6(3): 4353-4360 (2021) - [j5]Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu:
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. IEEE Robotics Autom. Lett. 6(4): 7262-7269 (2021) - [j4]Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu:
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation. IEEE Robotics Autom. Mag. 28(1): 48-58 (2021) - [j3]Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu:
VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. IEEE Trans. Intell. Veh. 6(3): 419-429 (2021) - [c6]Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu:
End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving. CVPR Workshops 2021: 2229-2238 - [c5]Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu:
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. ICRA 2021: 13731-13737 - [c4]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. IROS 2021: 1140-1145 - [c3]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks. IROS 2021: 8979-8984 - [i15]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching. CoRR abs/2103.07094 (2021) - [i14]Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu:
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving. CoRR abs/2104.08862 (2021) - [i13]Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, Ming Liu:
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. CoRR abs/2104.12861 (2021) - [i12]Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu:
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. CoRR abs/2107.08325 (2021) - [i11]Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. CoRR abs/2107.14599 (2021) - [i10]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks. CoRR abs/2108.05030 (2021) - [i9]Sukai Wang, Jianhao Jiao, Peide Cai, Ming Liu:
R-PCC: A Baseline for Range Image-based Point Cloud Compression. CoRR abs/2109.07717 (2021) - [i8]Peide Cai, Sukai Wang, Hengli Wang, Ming Liu:
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning. CoRR abs/2109.08473 (2021) - 2020
- [j2]Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu:
High-Speed Autonomous Drifting With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5(2): 1247-1254 (2020) - [j1]Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu:
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion. IEEE Robotics Autom. Lett. 5(3): 4218-4224 (2020) - [c2]Rui Fan, Hengli Wang, Peide Cai, Ming Liu:
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection. ECCV (30) 2020: 340-356 - [i7]Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu:
High-speed Autonomous Drifting with Deep Reinforcement Learning. CoRR abs/2001.01377 (2020) - [i6]Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu:
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak. CoRR abs/2004.07480 (2020) - [i5]Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu:
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. CoRR abs/2004.12591 (2020) - [i4]Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu:
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion. CoRR abs/2005.01935 (2020) - [i3]Rui Fan, Hengli Wang, Peide Cai, Ming Liu:
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection. CoRR abs/2008.11351 (2020) - [i2]Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
Learning Scalable Self-Driving Policies for Generic Traffic Scenarios. CoRR abs/2011.06775 (2020) - [i1]Rui Fan, Hengli Wang, Peide Cai, Jin Wu, Mohammud Junaid Bocus, Lei Qiao, Ming Liu:
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation. CoRR abs/2012.07890 (2020)
2010 – 2019
- 2019
- [c1]Peide Cai, Yuxiang Sun, Yuying Chen, Ming Liu:
Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles. ITSC 2019: 2736-2742
Coauthor Index
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