Kiyosumi Kidono

发表

A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors

Junichi Meguro, Yoshiko Kojima, Masaru Ogawa, 2016, IEEE Transactions on Intelligent Transportation Systems.

Texture-Based Objects Recognition for Vehicle Environment Perception Using a Multiband Camera

Yoshikatsu Kimura, Yoshiki Ninomiya, Kiyosumi Kidono, 2007, ISVC.

Autonomous navigation of a mobile robot based on environmental information observed during a past human-guided movement

Yoshiaki Shirai, Jun Miura, Kiyosumi Kidono, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Autonomous Visual Navigation of a Mobile Robot Based on a Human-Guided Experience

Yoshiaki Shirai, Jun Miura, Kiyosumi Kidono, 2001 .

Toward Human-like Behavior Generation in Urban Environment Based on Markov Decision Process With Hybrid Potential Maps

Yoshiko Kojima, Chunzhao Guo, Ryuta Terashima, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Skin segmentation using a multiband camera for early pedestrian detection

Yoshiko Kojima, Takashi Naito, Takaaki Tagawa, 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

Humanlike Behavior Generation in Urban Environment Based on Learning-Based Potentials With a Low-Cost Lane Graph

Yoshiko Kojima, Chunzhao Guo, Ryuta Terashima, 2018, IEEE Transactions on Intelligent Vehicles.

Gaze Control of Millimeter Wave Radar for Pedestrian Detection

Takashi Naito, Yoshiki Ninomiya, Kiyosumi Kidono, 2012 .

Toward human-like lane following behavior in urban environment with a learning-based behavior-induction potential map

Yoshiko Kojima, Takashi Machida, Chunzhao Guo, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Autonomous visual navigation of a mobile robot using a human-guided experience

Yoshiaki Shirai, Jun Miura, Kiyosumi Kidono, 2002, Robotics Auton. Syst..

Human-like behavior generation for intelligent vehicles in urban environment based on a hybrid potential map

Yoshiko Kojima, Takashi Machida, Chunzhao Guo, 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

6-band Camera System-Near Infrared 3-band and Visible 3-band Cameras-

Yoshikatsu Kimura, Kiyosumi Kidono, Takashi Naito, 2011 .

Pedestrian recognition using high-definition LIDAR

Takashi Naito, Takeo Miyasaka, Jun Miura, 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

Road marking recognition for map generation using sparse tensor voting

Yoshiko Kojima, Takashi Naito, Hiroyuki Ishida, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Pedestrian Recognition Using High-definition LIDAR

Jun Miura, Takashi Naito, Akihiro Watanabe, 2011 .

Understanding surrounding vehicles in urban traffic scenarios based on a low-cost lane graph

Yoshiko Kojima, Chunzhao Guo, Kiyosumi Kidono, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

Multiband image segmentation and object recognition using texture filter banks

Takashi Naito, Yoshiki Ninomiya, Kiyosumi Kidono, 2008, 2008 19th International Conference on Pattern Recognition.

SpaFIND: An Effective and Low-Cost Feature Descriptor for Pedestrian Protection Systems in Economy Cars

Yoshiko Kojima, Takeo Kato, Takashi Naito, 2017, IEEE Transactions on Intelligent Vehicles.

Curb Detection Based on Disparity Gradients and Template Matching

Takashi Naito, Yoshikatsu Kimura, Yoshinao Takemae, 2015 .

Electrically Scanned Millimeter Wave Automotive Radar With Wide Detection Region

Masaru Ogawa, Yoshikazu Asano, Kiyosumi Kidono, 2003 .

Free Space, Visible and Missing Lane Marker Estimation using the PsiNet and Extra Trees Regression

Vijay John, Seiichi Mita, Chunzhao Guo, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Fast road scene segmentation using deep learning and scene-based models

Vijay John, Seiichi Mita, Chunzhao Guo, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Route Planning for Accurate Localization Under Uncertainty

Kiyosumi Kidono, Shun Taguchi, Hideki Deguchi, 2019 .

Exclusive Association Sampling to Improve Bayesian Multi-Target Tracking

Kiyosumi Kidono, Shun Taguchi, 2020, IEEE Access.

Reliable pedestrian recognition combining high-definition LIDAR and vision data

Jun Miura, Takashi Naito, Kiyosumi Kidono, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Decision Method of the Material Characteristics by Using Three Wavelength Images

Kunihito Kato, Yoshikatsu Kimura, Kazuhiko Yamamoto, 2010 .

Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor

Takashi Naito, Yoshikatsu Kimura, Kiyosumi Kidono, 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

Real-Time Lane Estimation Using Deep Features and Extra Trees Regression

Zheng Liu, Vijay John, Seiichi Mita, 2015, PSIVT.

Improved lane detection based on past vehicle trajectories

Yoshiko Kojima, Jun-ichi Meguro, Chunzhao Guo, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Learning-based trajectory generation for intelligent vehicles in urban environment

Masaru Ogawa, Chunzhao Guo, Kiyosumi Kidono, 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

Online stereovision calibration using on-road markings

Huijing Zhao, Yoshiko Kojima, Chunzhao Guo, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Road ortho-image generation based on accurate vehicle trajectory estimation by GPS Doppler

Yoshiko Kojima, Jun-ichi Meguro, Hiroyuki Ishida, 2012, 2012 IEEE Intelligent Vehicles Symposium.

Real-time road surface and semantic lane estimation using deep features

Zheng Liu, Vijay John, Seiichi Mita, 2018, Signal Image Video Process..

Experimental on Hierarchical Transmission Scheme for Visible Light Communication using LED Traffic Light and High-Speed Camera

Toshiaki Fujii, Masayuki Tanimoto, Takaya Yamazato, 2007, 2007 IEEE 66th Vehicular Technology Conference.

Vision-Based Identification and Application of the Leader Vehicle in Urban Environment

Masaru Ogawa, Chunzhao Guo, Kiyosumi Kidono, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Sparse FIND: A Novel Low Computational Cost Feature for Object Classification

Yoshiko Kojima, Takeo Kato, Kiyosumi Kidono, 2013 .

Skin Detection Method by Using Multi-Infrared Light Under the Sunlight

Kunihito Kato, Kazuhiko Yamamoto, Kiyosumi Kidono, 2013 .