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ORCIDKiyosumi Kidono
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2020 – today
- 2023
[j8]Akihisa Okada
, Hiroaki Yoshida, Kiyosumi Kidono, Tadayoshi Matsumori, Takanori Takeno, Tadashi Kadowaki:
Design Optimization of Noise Filter Using Quantum Annealer. IEEE Access 11: 44343-44349 (2023)- 2022
- [j7]Shun Taguchi, Hideki Deguchi, Noriaki Hirose, Kiyosumi Kidono:
Fast Bayesian graph update for SLAM. Adv. Robotics 36(7): 333-343 (2022) - 2020
- [j6]Shun Taguchi, Kiyosumi Kidono:
Exclusive Association Sampling to Improve Bayesian Multi-Target Tracking. IEEE Access 8: 193116-193127 (2020)
2010 – 2019
- 2018
- [j5]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) - [j4]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) - [c20]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 - [c19]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
- [j3]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) - [c18]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 - [c17]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
- [j2]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) - [c16]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 - [c15]Chunzhao Guo, Kiyosumi Kidono, Masaru Ogawa:
Learning-based trajectory generation for intelligent vehicles in urban environment. Intelligent Vehicles Symposium 2016: 1236-1241 - 2015
- [c14]Chunzhao Guo, Kiyosumi Kidono, Masaru Ogawa:
Vision-Based Identification and Application of the Leader Vehicle in Urban Environment. ITSC 2015: 968-974 - [c13]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 - [c12]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
- [c11]Donghao Xu, Qiqi Zeng, Huijing Zhao, Chunzhao Guo, Kiyosumi Kidono, Yoshiko Kojima:
Online stereovision calibration using on-road markings. ITSC 2014: 245-252 - [c10]Chunzhao Guo, Jun-ichi Meguro, Koichiro Yamaguchi, Kiyosumi Kidono, Yoshiko Kojima:
Improved lane detection based on past vehicle trajectories. ITSC 2014: 1956-1963 - 2013
- [c9]Kiyosumi Kidono, Yusuke Kanzawa, Takaaki Tagawa, Yoshiko Kojima, Takashi Naito:
Skin segmentation using a multiband camera for early pedestrian detection. Intelligent Vehicles Symposium 2013: 346-351 - 2012
- [c8]Hiroyuki Ishida, Kiyosumi Kidono, Yoshiko Kojima, Takashi Naito:
Road marking recognition for map generation using sparse tensor voting. ICPR 2012: 1132-1135 - [c7]Kiyosumi Kidono, Takashi Naito, Jun Miura:
Reliable pedestrian recognition combining high-definition LIDAR and vision data. ITSC 2012: 1783-1788 - [c6]Jun-ichi Meguro, Hiroyuki Ishida, Kiyosumi Kidono, Yoshiko Kojima:
Road ortho-image generation based on accurate vehicle trajectory estimation by GPS Doppler. Intelligent Vehicles Symposium 2012: 276-281 - 2011
- [c5]Kunihiro Goto, Kiyosumi Kidono, Yoshikatsu Kimura, Takashi Naito:
Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor. Intelligent Vehicles Symposium 2011: 224-229 - [c4]Kiyosumi Kidono, Takeo Miyasaka, Akihiro Watanabe, Takashi Naito, Jun Miura:
Pedestrian recognition using high-definition LIDAR. Intelligent Vehicles Symposium 2011: 405-410
2000 – 2009
- 2008
- [c3]Yousun Kang, Kiyosumi Kidono, Takashi Naito, Yoshiki Ninomiya:
Multiband image segmentation and object recognition using texture filter banks. ICPR 2008: 1-4 - 2007
- [c2]Yousun Kang, Kiyosumi Kidono, Yoshikatsu Kimura, Yoshiki Ninomiya:
Texture-Based Objects Recognition for Vehicle Environment Perception Using a Multiband Camera. ISVC (2) 2007: 582-591 - [c1]Shintaro Arai, Shohei Mase, Takaya Yamazato, Tomohiro Endo, Toshiaki Fujii, Masayuki Tanimoto, Kiyosumi Kidono, Yoshikatsu Kimura, Yoshiki Ninomiya:
Experimental on Hierarchical Transmission Scheme for Visible Light Communication using LED Traffic Light and High-Speed Camera. VTC Fall 2007: 2174-2178 - 2002
- [j1]Kiyosumi Kidono, Jun Miura, Yoshiaki Shirai:
Autonomous visual navigation of a mobile robot using a human-guided experience. Robotics Auton. Syst. 40(2-3): 121-130 (2002)
Coauthor Index
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