Yeqiang Qian is a Tenure-Track Associate Professor and Ph.D. supervisor at the School of Automation and Perception, Shanghai Jiao Tong University. In recent years, focusing on autonomous driving and mobile robots, he has published more than 20 full-length papers in IEEE Transactions such as T-PAMI and T-IP as first/corresponding author. He has led projects funded by the National Natural Science Foundation of China (General Program and Young Scientists Fund). He serves as an Associate Editor of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) from 2023 to 2026. He has received the First Prize of the Shanghai Technological Invention Award, the First Prize of the Technological Invention Award from the Shanghai Association of Automation, and the Second Prize of the Innovation Technology Award from the Chinese Association for System Simulation, among other honors. He has developed autonomous driving systems for complex environments such as mountainous areas, mining areas, and airports, promoting the deployment of L4 autonomous driving in multiple application scenarios.

• National Natural Science Foundation of China (General Program): Research on Intelligent Vehicle Collision Prediction Methods Based on Optical Expansion

• National Natural Science Foundation of China (Young Scientists Fund): Research on Multi-Task Learning Methods for Environment Perception in Intelligent Driving

• Major Science and Technology Project of Guangxi Zhuang Autonomous Region (Sub-Project): Research and Application of Digital-Twin-Based Simulation and Testing Technology for Intelligent Driving

• Undergraduate course: Introduction to Control (Shanghai Key Course; Shanghai Jiao Tong University "AI+" Course)

• Graduate course: Robot Decision-Making and Planning Methods and Their Applications to Intelligent Vehicles (SJTU "Double First-Class" University-Enterprise Cooperation Course)

• 2026  Second Prize of the Innovation Technology Award, Chinese Association for System Simulation

• 2025  First Prize of the Technological Invention Award, Shanghai Association of Automation

• 2025  Best Paper Award, CCIR Conference

• 2025  Outstanding Paper Award, National Automation Education Academic Annual Conference

• 2020  First Prize of the Shanghai Technological Invention Award

Book

• Yeqiang Qian. AI Cars: Vision-Only Autonomous Driving [M]. Beijing: China Machine Press, 2025.

Journal Papers (2023 - present) 

    2026

• Li C, Qian Y*, Wang C and Yang M*, Digging into Monocular Texture-Scale Feature Fusion for Optical Flow and Optical Expansion Estimation[J], IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). 2026. 48(11):15427-15439. Code:https://github.com/LChanglin/MonoFusion

• Shu Y, Qian Y*, Wang C and Yang M*, A New Dataset and Lightweight Model for Accident Scene Understanding in Autonomous Driving[J], IEEE Transactions on Intelligent Transportation Systems (T-ITS).

• Meng C Zhang Y, Qian Y*, Zhang R, Yi H, Wang C and Yang M*, From Local to Global: A Vectorized HD Map Construction System for Intelligent Vehicles[J]. IEEE Transactions on Intelligent Vehicles (T-IV). DOI: 10.1109/TIV.2026.3734373

• Sun P, Qian Y*, Lv Z, Wang C and Yang M*, A Ground-Centric UAV-UGV Cooperative System for Autonomous Launch and Recovery[J], IEEE Robotics and Automation Letters (RA-L). 2026. 11(8): 9835-9842.

• Yang T, Qian Y*, Wang C and Yang M*, ParkOcc: A Novel Dataset and Benchmark for Surround-view Fisheye 3D Semantic Occupancy Prediction in Automated Parking Scenarios[J], IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2026. 27(8): 9131-9146. Code:https://github.com/yty-sky/ParkOcc

• Xu W, Qian Y*, Liu Y, Tuo L, Chen H, Yang M*, DrivingEditor: 4D Composite Gaussian Splatting for Reconstruction and Edition of Dynamic Autonomous Driving Scenes[J], IEEE Transactions on Image Processing(T-IP). 2026. 35: 1696-1710. Code: https://github.com/WangXu-xxx/DrivingEditor

• Lv Z, Qian Y*, Wang C and Yang M*, Structure-guided Memory-efficient 3D Gaussians for Large-scale Reconstruction[J], IEEE Transactions on Visualization and Computer Graphics (T-VCG). 2026. 32(2): 1754-1766. Demo&Code: https://lvzinan.github.io/STGS.github.io/
  

    2025

• Zhang Y, Qian Y*, Meng C, Zhang R, Yi H, Wang C and Yang M*, Local Vectorized High Definition Map Construction for Autonomous Driving: A Comprehensive Review[J], IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2025. 26(12): 21502-21525.

• Ming N, Qian Y*, Feng C, Wang C and Yang M*, TA-TOS: Terrain-Aware Tiny Obstacle Segmentation Based on MRF Road Modeling Using 3-D LiDAR Scans[J], IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2025. 26(10): 15985-16000. Code: github.com/ryming2001/TA-TOS

• Chen Z, Qian Y*, Yang X, Wang C and Yang M*, AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection[J], IEEE Transactions on Multimedia (T-MM), 2025. 27: 8298-8310. Code: https://github.com/bigD233/AMFD
  Data: https://www.kaggle.com/datasets/zizhaochen6/sjtu-multispectral-object-detection-smod-dataset

• Yang T, Qian Y*, Yan W, Wang C and Yang M*, AdaptiveOcc: Adaptive Octree-based Network for Multi-Camera 3D Semantic Occupancy Prediction in Autonomous Driving[J], IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2025. 35(3): 2173-2187. Code: https://github.com/yty-sky/AdaptiveOcc

• Li C, Qian Y*, Zhang S, Wang C and Yang M*, FP-TTC: Fast Prediction of Time-to-Collision using Monocular Images[J], IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2025. 35(2): 1028-1040. Code: https://github.com/LChanglin/FP-TTC

    2024

• Yan W, Qian Y*, Zhuang H, Wang C and Yang M*. SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles[J]. IEEE Transactions on Intelligent Vehicles (T-IV), 2024. 9(2): 3396-3408. Code: https://github.com/ywher/SAM4UDASS

• Li K, Qian Y*, Wang C and Yang M*. Forehead or Headlights–At Which Height Should LiDARs BeMounted on the Vehicle?[J]. IEEE Transactions on Intelligent Vehicles (T-IV), 2024. 9(1): 2564-2575. Data: http://www.kaggle.com/datasets/kezhili/height3

• Li Y, Zhang S, Jiang M, Chen X, Yang J, Qian Y, Wang C and Yang M. Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making[J]. IEEE Transactions on Intelligent Vehicles (T-IV), 2024. 9(5): 4840 - 4844. Code: https://github.com/WoodOxen/Tactics2D

    2023

• Yan W, Qian Y*, Wang C and Yang M∗. Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation[J]. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023, 22(1): 752-763. Code: https://github.com/ywher/TUFL

Conference Papers (2023 - present)

    2026

• Yan W, Qian Y*, Dong Y and Yang M. Beyond Random Sampling: Distribution-Aware Alignment for Semi-Supervised Medical Image Segmentation[C]//European Conference on Computer Vision (ECCV). 2026.

    2024

• Xie A, Qian Y*, Yan W, Wang C and Yang M. Non-Repetitive: A Promising LiDAR Scanning Pattern[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024: 2653-2659. Data: https://www.kaggle.com/datasets/angchenxie/repetitive-or-not

• Liu M, Tang X, Qian Y, Chen J and Li L. LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-Term Self-Localization[C]//IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024: 17990-17996.

    2023

• Li C, Qian Y*, Sun C, Yan W, Wang C and Yang M. TTC4MCP: Monocular Collision PredictionBased on Self-Supervised TTC Estimation[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023: 244-250. Demo: https://www.bilibili.com/video/BV1pz421X7n6

• Cadena P R G, Qian Y*, Wang C and Yang M. Sparse-E2VID: A Sparse Convolutional Model forEvent-Based Video Reconstruction Trained with Real Event Noise[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2023: 4149-4157. Demo: https://www.bilibili.com/video/BV1dT411W7QQ