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ORCIDChunzhao Guo
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2020 – today
- 2021
[j14]Chunzhao Guo:
It's a Great Time to Become a Member [Member Activities]. IEEE Intell. Transp. Syst. Mag. 13(2): 248-249 (2021)- [j13]Chunzhao Guo:
ITS Society Membership News [Member Activities]. IEEE Intell. Transp. Syst. Mag. 13(3): 286 (2021) - [c30]Chunzhao Guo, Ryan W. Wolcott, Jeffrey M. Walls:
Lane Map Generation in Rectified Raster Maps with Past Vehicle Traces. IV 2021: 967-973 - 2020
- [j12]Chunzhao Guo, Brendan Morris
:
ITS Society Membership News [Member Activities]. IEEE Intell. Transp. Syst. Mag. 12(3): 166 (2020)
2010 – 2019
- 2018
- [j11]Vijay John, Zheng Liu, Seiichi Mita, Chunzhao Guo, Kiyosumi Kidono:
Real-time road surface and semantic lane estimation using deep features. Signal Image Video Process. 12(6): 1133-1140 (2018) - [j10]Chunzhao Guo, Kiyosumi Kidono, Ryuta Terashima, Yoshiko Kojima:
Humanlike Behavior Generation in Urban Environment Based on Learning-Based Potentials With a Low-Cost Lane Graph. IEEE Trans. Intell. Veh. 3(1): 46-60 (2018) - [c29]Vijay John, Nithilan Meenakshi Karunakaran, Chunzhao Guo, Kiyosumi Kidono, Seiichi Mita:
Free Space, Visible and Missing Lane Marker Estimation using the PsiNet and Extra Trees Regression. ICPR 2018: 189-194 - [c28]Chunzhao Guo, Kiyosumi Kidono, Ryuta Terashima, Yoshiko Kojima:
Toward Human-like Behavior Generation in Urban Environment Based on Markov Decision Process With Hybrid Potential Maps. Intelligent Vehicles Symposium 2018: 2209-2215 - 2017
- [j9]Takeo Kato, Chunzhao Guo, Kiyosumi Kidono, Yoshiko Kojima, Takashi Naito:
SpaFIND: An Effective and Low-Cost Feature Descriptor for Pedestrian Protection Systems in Economy Cars. IEEE Trans. Intell. Veh. 2(2): 123-132 (2017) - [c27]Chunzhao Guo, Takashi Owaki, Kiyosumi Kidono, Takashi Machida, Ryuta Terashima, Yoshiko Kojima:
Toward human-like lane following behavior in urban environment with a learning-based behavior-induction potential map. ICRA 2017: 1409-1416 - [c26]Chunzhao Guo, Kiyosumi Kidono, Takashi Machida, Ryuta Terashima, Yoshiko Kojima:
Human-like behavior generation for intelligent vehicles in urban environment based on a hybrid potential map. Intelligent Vehicles Symposium 2017: 197-203 - 2016
- [j8]Chao Wang, Yongkun Fang, Huijing Zhao, Chunzhao Guo, Seiichi Mita, Hongbin Zha:
Probabilistic Inference for Occluded and Multiview On-road Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 17(1): 215-229 (2016) - [j7]Chunzhao Guo, Kiyosumi Kidono, Jun-ichi Meguro, Yoshiko Kojima, Masaru Ogawa, Takashi Naito:
A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors. IEEE Trans. Intell. Transp. Syst. 17(8): 2355-2366 (2016) - [c25]Vijay John, Kiyosumi Kidono, Chunzhao Guo, Hossein Tehrani Niknejad, Seiichi Mita, Kasuhiza Ishimaru:
Fast road scene segmentation using deep learning and scene-based models. ICPR 2016: 3763-3768 - [c24]Chunzhao Guo, Kiyosumi Kidono, Masaru Ogawa:
Learning-based trajectory generation for intelligent vehicles in urban environment. Intelligent Vehicles Symposium 2016: 1236-1241 - 2015
- [j6]Chunzhao Guo, Jun-ichi Meguro, Yoshiko Kojima, Takashi Naito:
A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding. IEEE Trans. Intell. Transp. Syst. 16(4): 1690-1704 (2015) - [c23]Chunzhao Guo, Kiyosumi Kidono, Masaru Ogawa:
Vision-Based Identification and Application of the Leader Vehicle in Urban Environment. ITSC 2015: 968-974 - [c22]Chao Wang, Huijing Zhao, Chunzhao Guo, Seiichi Mita, Hongbin Zha:
Visual-based on-road vehicle detection: A transnational experiment and comparison. Intelligent Vehicles Symposium 2015: 455-462 - [c21]Chunzhao Guo, Kiyosumi Kidono, Yoshiko Kojima:
Understanding surrounding vehicles in urban traffic scenarios based on a low-cost lane graph. Intelligent Vehicles Symposium 2015: 511-518 - [c20]Vijay John, Zheng Liu, Chunzhao Guo, Seiichi Mita, Kiyosumi Kidono:
Real-Time Lane Estimation Using Deep Features and Extra Trees Regression. PSIVT 2015: 721-733 - 2014
- [j5]Qiwei Xie, Chao Ma, Chunzhao Guo, Vijay John, Seiichi Mita, Qian Long:
Image Fusion Based on the (Δ-1 - TV0) Energy Function. Entropy 16(11): 6099-6115 (2014) - [j4]Qiwei Xie, Qian Long, Seiichi Mita, Chunzhao Guo, An Jiang:
Image Fusion Based on Multi-objective Optimization. Int. J. Wavelets Multiresolution Inf. Process. 12(2) (2014) - [c19]Qian Long, Qiwei Xie, Seiichi Mita, Hossein Tehrani Niknejad, Kazuhisa Ishimaru, Chunzhao Guo:
Real-time Dense Disparity Estimation based on Multi-Path Viterbi for Intelligent Vehicle Applications. BMVC 2014 - [c18]Chunzhao Guo, Jun-ichi Meguro, Yoshiko Kojima, Takashi Naito:
Automatic lane-level map generation for advanced driver assistance systems using low-cost sensors. ICRA 2014: 3975-3982 - [c17]Chao Wang, Huijing Zhao, Chunzhao Guo, Seiichi Mita, Hongbin Zha:
On-road vehicle detection through part model learning and probabilistic inference. IROS 2014: 4965-4972 - [c16]Donghao Xu, Qiqi Zeng, Huijing Zhao, Chunzhao Guo, Kiyosumi Kidono, Yoshiko Kojima:
Online stereovision calibration using on-road markings. ITSC 2014: 245-252 - [c15]Chunzhao Guo, Jun-ichi Meguro, Koichiro Yamaguchi, Kiyosumi Kidono, Yoshiko Kojima:
Improved lane detection based on past vehicle trajectories. ITSC 2014: 1956-1963 - 2013
- [j3]Hiroshi Murase, Toshihiro Wakita, Chunzhao Guo:
Formation of the Nagoya Chapter of IEEE Intelligent Transportation Systems Society [Chapter News]. IEEE Intell. Transp. Syst. Mag. 5(4): 173-174 (2013) - [c14]Chunzhao Guo, Jun-ichi Meguro, Yoshiko Kojima, Takashi Naito:
Detection of pedestrians in road context for intelligent vehicles and advanced driver assistance systems. ITSC 2013: 1161-1166 - [c13]Chunzhao Guo, Jun-ichi Meguro, Yoshiko Kojima, Takashi Naito:
CADAS: A multimodal advanced driver assistance system for normal urban streets based on road context understanding. Intelligent Vehicles Symposium 2013: 228-235 - 2012
- [j2]Chunzhao Guo, Seiichi Mita:
A Semantic Graph of Traffic Scenes for Intelligent Vehicle Systems. IEEE Intell. Syst. 27(4): 57-62 (2012) - [j1]Chunzhao Guo, Seiichi Mita, David A. McAllester:
Robust Road Detection and Tracking in Challenging Scenarios Based on Markov Random Fields With Unsupervised Learning. IEEE Trans. Intell. Transp. Syst. 13(3): 1338-1354 (2012) - [c12]Chunzhao Guo, Seiichi Mita:
Semantic-based road environment recognition in mixed traffic for intelligent vehicles and advanced driver assistance systems. ITSC 2012: 444-450 - [c11]Chunzhao Guo, Nianfeng Wan, Seiichi Mita, Ming Yang:
Self-defensive coordinated maneuvering of an intelligent vehicle platoon in mixed traffic. ITSC 2012: 1726-1733 - [c10]Chunzhao Guo, Takayuki Yamabe, Seiichi Mita:
Robust road boundary estimation for intelligent vehicles in challenging scenarios based on a semantic graph. Intelligent Vehicles Symposium 2012: 37-44 - 2011
- [c9]Chunzhao Guo, Seiichi Mita, David A. McAllester:
Adaptive non-planar road detection and tracking in challenging environments using segmentation-based Markov Random Field. ICRA 2011: 1172-1179 - [c8]Long Han, Quoc Huy Do, Chunzhao Guo, Seiichi Mita:
Optimal motion generation for autonomous vehicle in maze-like environment. ITSC 2011: 1299-1304 - [c7]Chunzhao Guo, Seiichi Mita, David A. McAllester:
Hierarchical road understanding for intelligent vehicles based on sensor fusion. ITSC 2011: 1672-1679 - [c6]Chunzhao Guo, Wataru Sato, Long Han, Seiichi Mita, David A. McAllester:
Graph-based 2D road representation of 3D point clouds for intelligent vehicles. Intelligent Vehicles Symposium 2011: 715-721 - 2010
- [c5]Chunzhao Guo, Seiichi Mita, David A. McAllester:
Lane detection and tracking in challenging environments based on a weighted graph and integrated cues. IROS 2010: 5543-5550 - [c4]Chunzhao Guo, Seiichi Mita, David A. McAllester:
A vision system for autonomous vehicle navigation in challenging traffic scenes using integrated cues. ITSC 2010: 1697-1704 - [c3]Chunzhao Guo, Seiichi Mita, David A. McAllester:
MRF-based road detection with unsupervised learning for autonomous driving in changing environments. Intelligent Vehicles Symposium 2010: 361-368
2000 – 2009
- 2009
- [c2]Chunzhao Guo, Seiichi Mita:
Drivable road region detection based on homography estimation with road appearance and driving state models. ICARA 2009: 204-209 - [c1]Chunzhao Guo, Seiichi Mita, David A. McAllester:
Stereovision-based road boundary detection for intelligent vehicles in challenging scenarios. IROS 2009: 1723-1728
Coauthor Index
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