n Journal Papers (Peer Reviewed)
1.
Yancheng Pan, Fan Xie,
Huijing Zhao, Understanding the Challenges When 3D
Semantic Segmentation Faces Class Imbalanced and OOD Data, IEEE Trans on
Intelligent Transportation System, 24(7), 6955-6970, 2023.
2.
Zeyu Zhu, Huijing
Zhao, Learning Autonomous Control Policy for Intersection Navigation with
Pedestrian Interaction, IEEE Trans on Intelligent Vehicle, 8(5), 3270-3284,
2023.
3.
Biao Gao, Xijun Zhao, Huijing Zhao, An Active and Contrastive Learning Framework
for Fine-Grained Off-Road Semantic Segmentation, IEEE Trans. on Intelligent
Transportation Systems (T-ITS), 24(1), 564-579, 2023.
4.
Zhezhang Ding, Huijing Zhao, Incorporating
Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A
survey, IEEE Trans on Intelligent Vehicle, 8(8), 3996-4015, 2023.
5.
Zhezhang Ding, Donghao Xu ,
Chenfeng Tu, Huijing Zhao ,
Mathieu Moze, François Aioun,
and Franck Guillemard, Driver Identification Through
Heterogeneity Modeling in Car-Following Sequences, IEEE Trans. on Intelligent
Transportation Systems (T-ITS), 23(10), 17143-17156, 2022.
6.
Zeyu Zhu, Huijing Zhao, A Survey of Deep RL
and IL for Autonomous Driving Policy Learning, IEEE Trans. on Intelligent
Transportation Systems (T-ITS), 23(9), 14043-14065, 2022.
7.
Biao Gao, Yancheng Pan, Chengkun Li, Sibo Geng, Huijing Zhao, Are We Hungry
for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods,
IEEE Trans. on Intelligent Transportation Systems (T-ITS), 23(7), 6063-6081, 2022.
8.
Xiaoliang Ju, Donghao Xu, Huijing
Zhao, Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-Based
Vehicle Localization, IEEE Trans. on Intelligent Transportation Systems
(T-ITS), 23(7), 6480-6494, 2022.
9.
Donghao Xu, Zezhang Ding, Xu He, Huijing Zhao, Mathieu Moze,
François Aioun, Franck Guillemard,
Learning From Naturalistic Driving Data for Human-Like
Autonomous Highway Driving, IEEE Trans. on Intelligent Transportation Systems
(T-ITS), 22(12), 7341-7354, 2021.
10.
Jilin Mei, Huijing Zhao, Incorporating
Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation, IEEE Trans. on
Intelligent Vehicle (T-IV), 5(2), 178-187, 2020.
11.
Jilin Mei, Biao Gao, Donghao Xu, Wen
Yao, Xijun Zhao, Huijing
Zhao, Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using
Semi-Supervised Learning, IEEE Trans on Intelligent Transportation Systems,
21(6), 2496-2509, 2020.
12.
Yongkun Fang, Chao Wang, Wen Yao, Xijun Zhao, Huijing Zhao, Hongbin Zha,
On-Road Vehicle Tracking Using Part-Based Particle Filter, IEEE Trans on
Intelligent Transportation Systems, 20(12), 4538-4552, 2019.
13.
Donghao Xu, Huijing Zhao, Franck Guillemard, Stéphane Geronimi,
François Aioun, Aware of Scene Vehicles - Probabilistic
Modeling of Car-Following Behaviors in Real-World Traffic, IEEE Transactions on
Intelligent Transportation Systems, 2136 – 2148, Volume: 20 , Issue: 6 , June 2019.
14.
俞毓锋，赵卉菁，基于相机与摇摆激光雷达融合的 非结构化环境定位，自动化学报，45(9), 1791-1798, 2019.
15.
Jilin Mei, Yufeng Yu, Huijing Zhao,
Hongbin Zha, Scene-Adaptive Off-Road Detection Using
a Monocular Camera, IEEE Trans. on Intelligent Transportation Systems, vol.19,
no.1, pp.242-253, 2018.
16.
Huijing Zhao, Chao Wang, Yubin Lin, Franck Guillemard, Stéphane Geronimi,
François Aioun, On-road Vehicle Trajectory Collection
and Scene-based Lane Change Analysis: Part I, IEEE Trans on Intelligent
Transportation Systems, 18(1), 192-205, 2017.
17.
Wen Yao, Qiqi Zeng, Yubin
Lin, Donghao Xu, Huijing
Zhao, Franck Guillemard, Stéphane Geronimi,
François Aioun, On-road Vehicle Trajectory Collection
and Scene-based Lane Change Analysis: Part II, IEEE Trans on Intelligent
Transportation Systems, 18(1), 206-220, 2017.
18.
俞毓锋，赵卉菁，崔锦实，查红彬，基于道路结构特征点智能车单目视觉定位，自动化学报，43(5):725-734, 2017.
19.
Zhao,H., Wang,C.,
Lin,Y., Guillemard,F., Geronimi,S., Aioun,F., On-road
Vehicle Trajectory Collection and Scene-based Lane Change Analysis: Part I,
IEEE Trans on Intelligent Transportation Systems, 2016.
20.
Yao,W., Zeng,Q.,
Lin,Y., Xu,D., Zhao,H., Wang,C., Lin,Y., Guillemard,F., Geronimi,S., Aioun,F., On-road
Vehicle Trajectory Collection and Scene-based Lane Change Analysis: Part II,
IEEE Trans on Intelligent Transportation Systems, 2016.
21.
Wang,C., Fang,Y.,
Zhao,H., Guo,C., Mita,S., Zha,H., Probabilistic
Inference for Occluded and Multiview On-road Vehicle Detection, IEEE Trans. on
Intelligent Transportation Systems, 17(1), 215-229, 2016.
22.
Song,X., Zhao,H.,
Cui,J., Shao,X., Shibasaki,R., Zha,H., An Online
System for Multiple Interacting Targets Tracking: Fusion of Laser and Vision,
Tracking and Learning, accepted by ACM Transactions on Intelligent Systems and
Technology, 4(1), 2013.
23.
Cui,J., Liu,Y.,
Xu,Y., Zhao,H., Zha,H., Tracking Generic Human Motion via Fusion of Low-
and High-Dimensional Approaches, IEEE Trans. on System, Man and Cybernetics –
Part A: System and Humans, 43(4), 996-1002, 2013.
24.
Zhao,H., Sha,J.,
Zhao,Y., Cui,J., Zha,H., Shibasaki,R., Detection
and Tracking of Moving Objects at Intersections using a Network of Laser
Scanners, IEEE Trans. Intelligent Transportation System, vol. 13, no.2,
655-670, 2012.
25.
Song,X., Shao,X.,
Zhang,Q., Shibasaki,R., Zhao,H., Zha,H., A Novel Dynamic
Model for Multiple Pedestrians Tracking in Extremely Crowded Scenarios,
accepted by Information Fusion.
26.
Song,X., Shao,X.,
Zhang,Q., Shibasaki,R., Zhao,H., Cui,J., Zha,H., A Fully Online and Unsupervised System for Large
and High Density Area Surveillance: Tracking, Semantic Scene Learning and
Abnormality Detection, accepted by ACM Transactions on Intelligent Systems and
Technology.
27.
Zhang,Q., Song,X.,
Shao,X., Shibasaki,R., Zhao,H., Unsupervised Skeleton Extraction and Motion
Capture from 3D Point Cloud Sequences, accepted by Neurocomputing.
28.
Zhao,H. Chiba,M.,
Shibasaki,R., Shao,X., Cui,
J., Zha,H., A laser scanner based approach towards
driving safety and traffic data collection, IEEE Trans. Intelligent
Transportation System, vol.10, no.3, 534-546, 2009.
29.
Zhao,H., Cui,J.,
Zha,H., Katabira,K., Shao,X., Shibasaki,R., Sensing an
intersection using a network of laser scanners and video cameras, IEEE
Intelligent Transportation Systems Magazine, vol.1, no.2, 31-37, 2009.
30.
Cui,J., Zha,H.,
Zhao,H., Shibasaki,R.,
“Multi-Modal Tracking of People Using Laser Scanners and Video Camera”, Image
and Vision Computing (IVC), Vol.26, No.2, 240-252, 2008.
31.
Cui,J., Zha,H.,
Zhao,H., Shibasaki,R.,
Laser-based Detection and Tracking of Multiple People in Crowds, Computer
Vision and Image Understanding (CVIU), Volume 106, Issues 2-3, 300-312. 2007.
32.
Li,W., Zhang,R.,
Liu,Z., Zhao,H., Shibasaki,R., An approach of laser-based vehicle monitor,
Applied Mathematics and Computation, 185, 953-962, 2007.
33.
Nakamura,K., Shao,X.,
Zhao,H., Shibasaki,R.,
Recognizing non-stationary walking based on gait analysis using laser scanners,
IEEJ Trans. on Electronics, Information and Systems, 127(4), 537-545, 2007.
34.
Nakamura,K., Zhao,H.,
Shibasaki,R., Sakamoto,K., Ohga, T., Suzukawa, N., Tracking
pedestrians using multiple single-row laser range scanners and its reliability
evaluation, Systems and computers in Japan, vol.37, no.7, pp.1-11, Jul. 2006.
35.
Zhao,H., Shibasaki,R.,
Updating digital geographic database using vehicle-borne laser scanners and
line cameras, Photogrammetric Engineering & Remote Sensing, 71-4, 415-424,
2005.
36.
Zhao,H., Shibasaki,R.,
A Novel System for Tracking Pedestrians using Multiple Single-row Laser Range
Scanners, IEEE Trans. SMC Part A: Systems and Humans, 35-2, 283-291, 2005.
37.
Zhao,H., Shibasaki,R.,
A vehicle-borne urban 3D acquisition system using single-row laser range
scanners. IEEE Trans. SMC Part B: Cybernetics, 33-4, 658-666, 2003.
38.
Zhao,H., Shibasaki,R.,
Special issue on computer vision system: reconstructing textured CAD model of
urban environment using vehicle-borne laser range scanners and line cameras,
Machine Vision and Applications, 14-1, 35-41, 2003.
39.
Creixell,W., Sezaki,
K., Zhao, H., Shibasaki, R., Mobility Model for Ad
Hoc Networks based on Experimental Data, IEICE technical report on Information
networks, Vol.102, No.693, 1-4, 2003.
40.
Zhao,H., Shibasaki,R.,
A robust method for registering ground-based laser range images of urban
outdoor object, Photogrammetric Engineering & Remote Sensing, 67-10,
1143-1153, 2001.
41.
Zhao,H., Shibasaki,R.,
Reconstruction of textured urban 3D model by ground-based laser range and CCD
images, IEICE Trans. Inf.&Syst., E83-D-7,
1429-1440, 2000.
n International Conference Papers (Peer Reviewed)
42.
Yancheng Pan, Huijing Zhao, Re-thinking
Classification Confidence with Model Quality Quantification, IEEE/RSJ Int.
Conf. on Intelligent Robots and Systems (IROS), 2023.
43.
Zeyu Zhu, Huijing Zhao, Joint Imitation
Learning of Behavior Decision and Control for Autonomous Intersection
Navigation, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2023.
44.
Shaochi Hu; Hanwei Fan; Biao Gao; Huijing Zhao, A Contrastive-Learning-Based Method for
Alert-Scene Categorization, Conferences, IEEE Intelligent Vehicle Symposium
(IV), pp. 127-134, 2022.
45.
Zhezhang Ding, Ziyang Yao, Huijing Zhao, RA-GAT: Repultion
and attaction graph attention for trajectory
prediction, IEEE Int. Conf. on Intelligent Transportation Systems (ITSC), 2021.
46.
Biao Gao, Shaochi Hu, Xijun Zhao, Huijing Zhao, Fine-Grained
Off-Road Semantic Segmentation and Mapping via Contrastive Learning, IEEE/RSJ
Int. Conf. on Intelligent Robots and Systems (IROS), 2021.
47.
Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun
Li, Huijing Zhao, SemanticPOSS:
A Point Cloud Dataset with Large Quantity of Dynamic Instances, IEEE
Intelligent Vehicles Symposium (IV), 2020.
48.
Zeyu Zhu, Nan Li, Ruoyu Sun, Huijing Zhao, Donghao Xu, Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on
Deep Inverse Reinforcement Learning, IEEE Intelligent Vehicles Symposium (IV),
2020.
49.
Shaochi Hu, Donghao
Xu, Huijing Zhao, Cross Scene Prediction via Modeling
Dynamic Correlation using Latent Space Shared Auto-Encoders, IEEE/RSJ Int.
Conf. on Intelligent Robots and Systems (IROS), 2020.
50.
Ruoyu Sun, Donghao
Xu, Huijing Zhao, Mathieu Moze,
François Aioun, Franck Guillemard,
Backpropagation through Simulation: A Training Method for Neural Network-based
Car-following, IEEE Int. Conf. on Intelligent Transportation Systems (ITSC),
2019.
51.
Zezhang Ding, Donghao
Xu, Huijing Zhao, Mathieu Moze,
François Aioun, Franck Guillemard,
Driver Identification through Multi-state Car Following Modeling, IEEE Int.
Conf. on Intelligent Transportation Systems (ITSC), 2019.
52.
Ruoyu Sun, Shaochi
Hu, Huijing Zhao, Mathieu Moze,
François Aioun, Franck Guillemard,
Human-like Highway Trajectory Modeling based on Inverse Reinforcement Learning,
IEEE Int. Conf. on Intelligent Transportation Systems (ITSC), 2019.
53.
Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao,
Supervised Learning for Semantic Segmentation of 3D LiDAR Data
, IEEE Intelligent Vehicles Symposium (IV), 1309-1316, 2019.
54.
Yongkun Fang, Huijing
Zhao, Hongbin Zha, Wen Yao, Xijun
Zhao, Camera and LiDAR Fusion for On-Road Vehicle Tracking with Reinforcement Learning , IEEE Intelligent Vehicles Symposium (IV),
1513-1520, 2019.
55.
Biao Gao, Anran Xu, Yancheng
Pan, Xijun Zhao, Wen Yao, Huijing
Zhao, Off-Road Drivable Area Extraction Using 3D LiDAR Data, IEEE Intelligent
Vehicles Symposium (IV), 1323-1329, 2019.
56.
Xiaoliang Ju, Donghao
Xu, Xijun Zhao, Wen Yao, Huijing
Zhao, Learning Scene Adaptive Covariance Error Model of LiDAR Scan Matching for
Fusion Based Localization, IEEE Intelligent Vehicles Symposium (IV), 1579-1586,
2019.
57.
Xu He, Donghao Xu, Huijing
Zhao, Mathieu Moze, François Aioun,
Franck Guillemard, A Human-like Motion Planning
Method by Learning from Naturalistic Driving Data, IV, 339-346, 2018.
58.
Donghao Xu, Zhezhang
Ding, Huijing Zhao, Mathieu Moze,
François Aioun, Franck Guillemard,
Naturalistic Lane Change Analysis for Human-Like Trajectory Generation, IV,
1393-1399, 2018.
59.
Yongkun Fang, Chao Wang, Huijing Zhao, Hongbin Zha, On-road
Vehicle Tracking Using Part-based Particle Filter, IEEE/RSJ Int. Conf. on
Intelligent Robots and Systems (IROS), 3755-3761, 2017.
60.
Donghao Xu, Xu He, Huijing Zhao, Franck Guillemard,
Stéphane Geronimi, François Aioun,
Ego-Centric Traffic Behavior Understanding through Multi-Level Vehicle
Trajectory Analysis, IEEE Int. Conf. on Robotics and Automation (ICRA), 211-218,
2017.
61.
Donghao Xu, Huijing
Zhao, Franck Guillemard, Stéphane Geronimi,
François Aioun, Scene-Aware Driver State
Understanding in car-following Behaviors, IEEE Intelligent Vehicle Symposium
(IV), 2017.
62.
Wang C., Zhao, H., Guo, C., Mita, S., Zha, H., Visual-Based On-road Vehicle Detection: A
Transnational Experiment and Comparison, IEEE Intelligent Vehicle Symposium
(IV), 455 – 462, 2015.
63.
Yao, W., Lin, Y., Wang, C., Zhao, H., Zha,
H., Automatic Lane Change Data Extraction from Car Data Sequence, International
IEEE Conference on Intelligent Transportation Systems (ITSC), 2014.
64.
Xu, D., Zeng, Q., Zhao, H., Guo, C., Kidono,
K., Kojima, Y., Online Stereovision Calibration Using On-road Markings,
International IEEE Conference on Intelligent Transportation Systems (ITSC),
2014.
65.
Wang C., Zhao, H., Guo, C., Mita, S., Zha, H., On-road
Vehicle Detection through Part Model Learning and Probabilistic Inference,
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2014.
66.
Yu, Y., Zhao, H., Cui, J., Zha, H., Davoine, F., Monocular Visual Localization using Road
Structural Features, IEEE Intelligent Vehicles Symposium (IV), 2014.6.
67.
He, M., Zhao, H., Cui, J., Zha, H.,
Calibration Method for Multiple 2D LIDARs System, IEEE Int. Conf. on Robotics
and Automation (ICRA), 2014.5.
68.
Yao, W., Zhao, H., Bonnifait, P., Zha, H., Lane Change Trajectory Prediction by using
Recorded Human Driving Data, IEEE Intelligent Vehicles Symposium (IV), 430-436,
2013.
69.
He, M., Zhao, H., Davoine, F., Cui, J., Zha, H., Pairwise LIDAR Calibration Using Multi-Type 3D
Geometric Features in Natural Scene, IEEE/RSJ Int. Conf. on Intelligent Robots
and Systems (IROS), 2013.
70.
Wang, C., Zhao, H., Davoine, F., Zha, H., Automatic
visual training sample generation through multi-modal sensor data fusion,
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 4169-4176, 2012.
71.
Zhao,H., Wang,C.,
Yao,W., Davoine,F., Cui,J., Zha,H., Omni-directional
detection and tracking of on-road vehicles using multiple horizontal laser
scanners, IEEE Intelligent Vehicles Symposium (IV), 57-62, 2012.
72.
Yao,W., Zhao,H.,
Davoine,F., Zha,H.,
Learning Lane Change Trajectories From On-road Driving Data, IEEE Intelligent
Vehicles Symposium (IV), 885-890, 2012.
73.
Zhao,Y., He, M., Zhao,H., Davoine,F., Zha,H., Computing Object-based Saliency in Urban Scenes
using Laser Sensing, IEEE Int. Conf. on Robotics and Automation (ICRA),
4436-4443, 2012.
74.
Xu,W., Wei,J.,
Dolan,J.M., Zhao,H., Zha,H., A Real-Time Motion Planner with Trajectory
Optimization for Autonomous Vehicles, IEEE Int. Conf. on Robotics and Automation
(ICRA), 2061-2067, 2012.
75.
Song,X., Shao,X.,
Zhang,Q., Shibasaki,R., Zhao,H., Zha,H., Fusion of Laser
and Vision for Multiple Target Tracking via On-line Learning, IEEE Int. Conf.
on Robotics and Automation (ICRA), 2170-2176, 2012.
76.
Sha,J., Zhao,Y.,
Xu,W., Zhao,H., Cui,J., Zha,H., Trajectory
analysis of moving objects at intersection based on laser-data, 14th
International IEEE Conference on Intelligent Transportation Systems (ITSC), 289
– 294, 2011.
77.
Zhao,Y., Zhao,H.,
Sha,J., Zha,H., Moving
object trajectory processing based on multi-laser sensing, 14th International
IEEE Conference on Intelligent Transportation Systems (ITSC), 550 – 557, 2011.
78.
Xu,W., Yao,W.,
Zhao,H., Zha,H., A Vehicle
Model for Micro-Traffic Simulation in Dynamic Urban Scenarios, IEEE Int. Conf.
on Robotics and Automation (ICRA), 2267-2274, 2011.
79.
Song,X., Shao,X.,
Shibasaki,R., Zhao,H., Cui,J., Zha,H., A novel
laser-based system: Fully online detection of abnormal activity via an
unsupervised method, IEEE Int. Conf. on Robotics and Automation (ICRA),
1317-1322, 2011.
80.
Zhao,H., Liu,Y.,
Zhu,X., Zhao,Y., Zha,H., Scene Understanding in a Large Dynamic Environment
through a Laser-Based Sensing, IEEE Int. Conf. on Robotics and Automation
(ICRA), 127-133 , 2010.
81.
Zhu,X., Zhao,H.,
Liu,Y., Zhao,Y., Zha,H., Segmentation and Classification of Range Image from
an Intelligent Vehicle in Urban Environment, IEEE/RSJ Int. Conf. on Intelligent
Robots and Systems (IROS), 1457-1462, 2010.
82.
Song,X., Shao,X.,
Zhao,H., Cui,J., Shibasaki,R., Zha,H., An Online
Approach: Learning-Semantic-Scene-by-Tracking and
Tracking-by-Learning-Semantic-Scene, Computer Vision and Pattern Recognition
(CVPR), 739-746, 2010.
83.
Song,X., Zhao,H.,
Cui,J., Shao,X., Shibasaki,R., Zha,H., Fusion of
Laser and Vision for Multiple Target Tracking via On-line Learning, IEEE Int.
Conf. on Robotics and Automation (ICRA), 406-411, 2010.
84.
Shao,X., Katabira,K.,
Shibasaki,R., Zhao,H.,
Multiple people extraction using 3D range sensor, IEEE Int. Conf. on Systems,
Man and Cybernetics (SMC), 1550-1554, 2010.
85.
Zhao,H., Xiong,
L., Jiao, Z., Cui, J., Zha, H., Sensor alignment
towards an omni-directional measurement using an intelligent vehicle, IEEE
Intelligent Vehicle Symposium (IV), 292-298, 2009.
86.
Zhao,H., Zhang,Q.,
Chiba,M., Shibasaki,R., Cui,J., Zha,H., Moving Object Classification using Horizontal Laser Scan Data， IEEE Int. Conf. on Robotics and Automation (ICRA), 2424-2430,
2009.
87.
Shao,X., Zhao,H.,
Katabira,K., Shibasaki,R., Nakagawa,Y., Tracking a Variable Number of Pedestrians in
Crowded Scenes by using Laser Range Scanners, IEEE Int. Conf. Systems, Man and
Cybernetics (SMC), 1545-1551, 2008.
88.
Zhao,H., Cui,J.,
Zha,H., Katabira,K., Shao,X., Shibasaki,R., Monitoring
an intersection using a network of laser scanners, IEEE Int. Conf. on Intelligent
Transportation Systems (ITSC), 428-433, 2008.
89.
Kyoichiro,K., Zhao,H.,
Nakagawa,Y., Shibasaki,R.,
Real-Time Monitoring of People Flows and Indoor Temperature Distribution for
Advanced Air-Conditioning Control, IEEE Int. Conf. on Intelligent Transportation
Systems (ITSC), 664-668, 2008.
90. Song,X., Cui,J., Zha,H., Zhao,H., Vision-based
Multiple Interacting Targets Tracking via On-line Supervised Learning, European
Conf. on Computer
Vision (ECCV), 642-655, 2008.
91. Song,X., Cui,J., Zha,H., Zhao,H., Probabilistic
Detection-based Particle Filter for Multi-target Tracking, British Machine
Vision Conference (BMVC), 223-232, 2008.
92. Song,X., Cui,J., Zhao,H., Zha,H., Bayesian Fusion
of Laser and Vision for Multiple People Detection and Tracking, Int. Conf. on Instrumentation,
Control and Information Technology (SICE), 3014-3019, 2008.
93. Song,X., Cui,J., Wang,X., Zhao,H., Zha,H., Tracking Interacting Targets with Laser Scanner via
On-line Supervised Learning, IEEE Int. Conf. on Robotics and Automation (ICRA), 2271-2276,
2008.
94.
Zhao, H.,
95.
Zhao, H.,
Chiba, M.,
Shibasaki, R., Shao, X.,
Cui, J.,
Zha, H.，SLAM in a Dynamic Large Outdoor
Environment using a Laser Scanner, IEEE Int. Conf. on Robotics and Automation
(ICRA), 1455-1462, 2008.
96.
Shao,X.,
Zhao,H., Nakamura,K., Katabira,K., Shibasaki,R., Nakagawa,Y., Detection and Tracking of Multiple Pedestrians
by Using Laser Range Scanners, IEEE/RSJ Int. Conf. on Intelligent Robots and
Systems (IROS), 2007.
97.
Zhao, H., Chen, Y., Shibasaki,
R., An efficient extrinsic calibration of a multiple laser
scanners and cameras' sensor system on a mobile platform, IEEE
Intelligent Vehicles Symposium, 422-427, 2007.
98.
Chen, Y., Zhao, H., Shibasaki,
R., A mobile system combining laser scanner and cameras for urban spatial
objects extraction, Int. Conf. on Machine Learning and Cybernetics, 2007.
99.
Zhao, H., Chen, Y., Shao, X.W., Katabira, K., Shibasaki, R.，
Monitoring a populated environment using single-row laser range scanners from a
mobile platform, IEEE Int. Conf. on Robotics and Automation (ICRA), 4739-4745,
2007.
n Book Chapters
100.
Zhao, H., Wang, C., Yao, W., Cui, J., Zha,
H., Vehicle Trajectory Collection using On-board Multi-Lidars for Driving
Behavior Analysis, Knowledge
Engineering and Management, Advances in Intelligent Systems and
Computing, Springer, vol.214, pp.659-671, 2014.
101. Nakamura,K., Zhao,H., Shao,X., Shibasaki,R., Human Sensing in Crowd Using Laser Scanners,
Laser Scanner Technology, InTech, 2012.
102. Zhao,H., Xiong,L., Liu,Y., Zhu,X., Zhao,Y., Zha,H., Intelligent Vehicles Vision Technology: Sensor
Alignment Towards an Omni-directional Measurement Using an Intelligent Vehicle,
Robert A. Meyers (ed.), Encyclopedia of Sustainability Science and Technology,
Springer, 2012
103. Cui,J., Song,X., Zhao,H., Zha,H., Shibasaki,R., Real-time
Detection and Tracking of Multiple People in Laser Scan Frames, Augmented
Vision Perception in Infrared, Springer, 2009.
104. Zhao, H., K. Nakamura, R. Shibasaki, Chapter 4. A
laser scanner system for acquiring walking trajectory data and its possible
applications to behavioral science, GIS-based Studies in the Humanties and Social Sciences, Taylor & Francis, 2005.
n Domestic Journal and Conference Papers
105. Xu,W., Yao,W.,
Zhao,H., Zha,H., Micro-Traffic Simulation in
Dynamic Urban Scenarios based on Vehicle Motion Planning [C], 2011 Chinese Annual Conference on Intelligent Transportation System.
106. Zhao,H., Davoine,F.,
Cherfaoui,V., Fremont,V. Bonnifait,P., Dynamic mapping: System and algorithm [C], Workshop of the NSFC Major Research Plan Program on Visual and
Auditory Cognitive Calculation, 2010.
107. Sha,J., Zhao,H., Cui,J., Zha,H., Estimating
Vehicle Driving Parameters using Laser scanners [C], Workshop of the NSFC Major
Research Plan Program on Visual and Auditory Cognitive Calculation, 2010.
108. Sha,J., Zhao,H., Cui,J., Zha,H., Traffic Data
Collection at an Intersection using a Network of Laser Scanners [C], Journal of Highway and
Transportation Research, vol.26, no.S1, 30-34, 2009.
109. Zhao,H., Sha,J.,
Cui,J., Zha,H., System and
Development toward Detailed Traffic Data Collection [C], Int. Sym. On Sustainable Development of Urban
Transportation in