Hengli Wang
Orcid: 0000-0002-7515-9759
According to our database1,
Hengli Wang
authored at least 29 papers
between 2019 and 2022.
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Bibliography
2022
DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks.
IEEE Trans. Intell. Transp. Syst., 2022
MAFNet: Segmentation of Road Potholes With Multimodal Attention Fusion Network for Autonomous Vehicles.
IEEE Trans. Instrum. Meas., 2022
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms.
IEEE Trans. Cybern., 2022
UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments.
IEEE Trans. Intell. Veh., 2021
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms.
IEEE Trans. Image Process., 2021
IEEE Trans Autom. Sci. Eng., 2021
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation.
IEEE Robotics Autom. Mag., 2021
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning.
CoRR, 2021
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation.
CoRR, 2020
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak.
CoRR, 2020
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
We Learn Better Road Pothole Detection: From Attention Aggregation to Adversarial Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Self-Supervised Drivable Area and Road Anomaly Segmentation Using RGB-D Data For Robotic Wheelchairs.
IEEE Robotics Autom. Lett., 2019