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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
Toyama   A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection
Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO) PRMU2016-57 IBISML2016-12
In this report, we study multi-frames features extracted by integrating point-clouds of LIDAR over multiple frames. We s... [more] PRMU2016-57 IBISML2016-12
PRMU 2014-10-09
Chiba   A study on features for pedestrian detection using a low resolution LIDAR
Yoshinori Ichikawa, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hideaki Misawa, Utsushi Sakai (DENSO) PRMU2014-55
In recent years, LIDAR (LIght Detection And Ranging) is focused as a sensor for recognizing surrounding environment arou... [more] PRMU2014-55
PRMU 2013-12-12
Mie   A preliminary study on the prediction of pedestrian's detectability considering drivers' characteristics
Ryunosuke Tanishige, Daisuke Deguchi (Nagoya Univ.), Keisuke Doman, Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO CORP.) PRMU2013-69
In recent years, advances in pedestrian detection technology have resulted in the development of driving assistance syst... [more] PRMU2013-69
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
Tottori   Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset
Takashi Bando, Kazuhito Takenaka, Tehrani Hossein, Utsushi Sakai (DENSO) PRMU2013-46 IBISML2013-26
Recently, various advanced driver assistance systems have been developed, e.g., collision-warning system that detect ped... [more] PRMU2013-46 IBISML2013-26
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