World's Best Scientists 2026 revealed!
Huijing Zhao

Huijing Zhao

D-Index & Metrics

Computer Science

D-Index
34
Citations
4433
World Ranking
12248
National Ranking
1508

Overview

Huijing Zhao is affiliated with Peking University in China. Their research spans several interconnected fields, primarily focusing on Engineering and Computer Science, with notable contributions to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Aerospace Engineering, and Control and Systems Engineering.

Their work addresses key topics including Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robotics and Sensor-Based Localization, Anomaly Detection Techniques and Applications, Traffic Control and Management, Traffic and Road Safety, and Remote Sensing and LiDAR Applications.

Huijing Zhao's publication record includes numerous papers in well-regarded venues. Some notable recent papers are:

  • A Survey of Deep RL and IL for Autonomous Driving Policy Learning, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey, 2023, IEEE Transactions on Intelligent Vehicles
  • Driver Identification Through Heterogeneity Modeling in Car-Following Sequences, 2022, IEEE Transactions on Intelligent Transportation Systems

The majority of their work has been published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Intelligent Vehicles
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Buildings

Frequent collaborators include Biao Gao, Donghao Xu, Yancheng Pan, Sibo Geng, and Zhezhang Ding, reflecting ongoing partnerships in various research projects.

Best Publications

  • A novel system for tracking pedestrians using multiple single-row laser-range scanners

    Huijing Zhao;R. Shibasaki

  • A real-time motion planner with trajectory optimization for autonomous vehicles

    Wenda Xu;Junqing Wei;John M. Dolan;Huijing Zhao

  • TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection

    Hanqi Guo;Zuchao Wang;Bowen Yu;Huijing Zhao

  • A Survey of Deep RL and IL for Autonomous Driving Policy Learning.

    Zeyu Zhu;Huijing Zhao

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches

    Jinshi Cui;Ye Liu;Yuandong Xu;Huijing Zhao

  • SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

    Yancheng Pan;Biao Gao;Jilin Mei;Sibo Geng

  • Reconstructing a textured CAD model of an urban environment using vehicle-borne laser range scanners and line cameras

    Huijing Zhao;Ryosuke Shibasaki

  • A vehicle-borne urban 3-D acquisition system using single-row laser range scanners

    Huijing Zhao;R. Shibasaki

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Reconstructing Textured CAD Model of Urban Environment Using Vehicle-Borne Laser Range Scanners and Line Cameras

    Huijing Zhao;Ryosuke Shibasaki

  • Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning

    Xuan Song;Jinshi Cui;Hongbin Zha;Huijing Zhao

  • Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking

    Ye Liu;Jinshi Cui;Huijing Zhao;Hongbin Zha

  • Multi-modal tracking of people using laser scanners and video camera

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Tracking multiple people using laser and vision

    Jinshi Cui;Hongbin Zha;Huijing Zhao;R. Shibasaki

  • Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods

    Biao Gao;Yancheng Pan;Chengkun Li;Sibo Geng

  • Detection and tracking of multiple pedestrians by using laser range scanners

    Xiaowei Shao;Huijing Zhao;K. Nakamura;K. Katabira

  • Semi-automatic road extraction from high-resolution satellite image

    Huijing Zhao;Jun Kumagai;Masafumi Nakagawa;Ryosuke Shibasaki

  • On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part II

    Wen Yao;Qiqi Zeng;Yuping Lin;Donghao Xu

  • Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving

    Donghao Xu;Zhezhang Ding;Xu He;Huijing Zhao

  • Lane change trajectory prediction by using recorded human driving data

    Wen Yao;Huijing Zhao;Philippe Bonnifait;Hongbin Zha

  • Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning

    Jilin Mei;Biao Gao;Donghao Xu;Wen Yao

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.

    Yuandong Xu;Jinshi Cui;Huijing Zhao;Hongbin Zha

Frequent Co-Authors

Ryosuke Shibasaki
Ryosuke Shibasaki University of Tokyo
Hongbin Zha
Hongbin Zha Peking University
Xuan Song
Xuan Song University of Tokyo
David L. Kaplan
David L. Kaplan Tufts University
Hesun Zhu
Hesun Zhu Beijing Institute of Technology
Qiang Lu
Qiang Lu Soochow University
Xuelong Li
Xuelong Li China Telecom (China)
Yasushi Yagi
Yasushi Yagi Osaka University
John M. Dolan
John M. Dolan Carnegie Mellon University

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