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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
13:00
Okinawa Okinawa Convention Center A LiDAR-Based Dynamic Wide Area Map Generation Method for VANETs
Sho Ibuki, Masami Yoshida, Taku Noguchi (Ritsumeikan Univ.) NS2023-227
In recent years, LiDAR technology has emerged as a crucial component for developing autonomous driving and ADAS. Due to ... [more] NS2023-227
pp.323-328
ITS 2018-06-12
13:55
Tokyo Kikai-Shinko-Kaikan Bldg. Towards ADAS Map: Automatic Extraction and Integration of Semantic Traffic Regulation from MMS Data
Yue Zhang, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo (UTokyo) ITS2018-2
Advanced Driver Assistance Systems (ADAS) map is one of the most important components for autonomous driving. And traffi... [more] ITS2018-2
pp.7-12
AP 2018-03-09
14:25
Gunma Hotel Ichii (Kusatsu, Gunma) Radar Cross Section Modeling of Car Dummy for Advanced Driver Assistance Systems
Naoyuki Yamada (TCRDL), Takeshi Yoshida, Shota Mori, Akira Taketomi (Toyota), Takashi Machida (TCRDL) AP2017-203
For a virtual assessment of the millimeter wave radar, we propose the millimeter wave reflection characteristic of the c... [more] AP2017-203
pp.63-68
ITS, WBS, RCC 2017-12-15
14:55
Okinawa Tiruru/Okinawa Jichikaikan Empirical Study on Dynamic Digital Map Using Multiple Sensors
Yuta Akiyoshi, Kazuaki Shimoda, Shogo Kozaki, Hiumi Tomokiyo, Kazuki Yamanaka, Keiji Jimi (Univ. of Kitakyushu), Isamu Matsunami (Kitakyushu Univ.) WBS2017-81 ITS2017-58 RCC2017-97
In order to realize autonomous car, it is necessary to improve the accuracy of "target recognition" technology and dynam... [more] WBS2017-81 ITS2017-58 RCC2017-97
pp.263-268
SANE 2017-08-25
14:20
Osaka OIT UMEDA Campus Study on Simple Imaging by Squint-mode SAR with Millimeter Wave Automotive Radar
Takumi Kobayashi, Hiroyoshi Yamada, Shogo Muramatsu (Niigata Univ.), Yuuichi Sugiyama (FUJITSU TEN), Yoshio Yamaguchi (Niigata Univ.) SANE2017-41
An application of various sensors for a automobile is studied to realize safety automatic driving technology. A millimet... [more] SANE2017-41
pp.71-76
ICD 2017-04-20
15:20
Tokyo   [Invited Talk] Embedded Flash Technology for Automotive Applications
Masaya Nakano, Takashi Ito, Tadaaki Yamauchi, Yasuo Yamaguchi, Takashi Kono, Hideto Hidaka (Renesas Electronics) ICD2017-8
Higher fuel-efficient engine and advanced driver assistance system (ADAS) require the further progress of embedded Flash... [more] ICD2017-8
pp.39-44
AP 2017-03-17
14:25
Iwate Iwate Univ. Experimental Study on Synthetic Aperture Radar Imaging for Millimeter Wave Automotive Radar
Yusuke Kobayashi, Jun Minotani, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.), Yuuichi Sugiyama (Fujitsu TEN) AP2016-197
In recent years, automatic driving technologies of vehicles as well as advanced safety driving technology have been wide... [more] AP2016-197
pp.109-114
PRMU, BioX 2016-03-24
10:30
Tokyo   Sensor Fusion Algorithm with Radar and Camera for Fast Target Recognition Using HOG and Machine Learning
Yohei Oishi, Isamu Matsunami, Yasushi Yamazaki (Univ. of Kitakyu) BioX2015-45 PRMU2015-168
Advanced Driver Assistance Systems (ADAS) are systems to help the driver in the driving process. ADAS relies on inputs f... [more] BioX2015-45 PRMU2015-168
pp.25-30
ICD, IE, VLD, IPSJ-SLDM [detail] 2015-10-27
09:50
Miyagi   [Invited Talk] Developments of Advanced Driver Assistance System (ADAS) and Image Recognition SoC
Takashi Miyamori (Toshiba), Seiya Ide (DENSO) VLD2015-34 ICD2015-47 IE2015-69
Recent years, Advanced Driver Assistance Systems, ADAS, such as an autonomous emergency braking for vehicles and pedestr... [more] VLD2015-34 ICD2015-47 IE2015-69
p.43
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2014-11-26
16:40
Oita B-ConPlaza An FPGA Implementation of Real-Time Traffic-Sign Detection for Driver Assistance System
Masaharu Yamamoto, Anh-Tuan Hoang, Tetsushi Koide (Hiroshima Univ.) VLD2014-76 DC2014-30
In this paper, we propose a hardware-oriented speed traffic-sign recognition algorithm and its FPGA architecture in whic... [more] VLD2014-76 DC2014-30
pp.27-32
CPSY 2014-11-13
12:30
Hiroshima Hiroshima University Hardware Oriented Speed Traffic-Sign Detection Algorithm for Robust Sign Distortion and Illumination Conditions
Masaharu Yamamoto, Anh-Tuan Hoang, Tetsushi Koide (Hiroshima Univ.) CPSY2014-54
In this paper, we propose a hardware-oriented robust speed traffic-sign recognition algorithm which can process real-tim... [more] CPSY2014-54
pp.1-6
MW, AP
(Joint)
2013-09-12
15:35
Tokyo NHK Science Tech. Research Lab. [Tutorial Lecture] Development Trend of Automotive Millimeter-Wave Radar
Masaru Ogawa, Shin-ichiro Matsuzawa, Kazuo Sato (Toyota Central R&D Labs.) AP2013-83
Research and development of advanced driver assistance systems (ADAS) for automotive technology are progressing for real... [more] AP2013-83
pp.17-20
PRMU 2009-02-20
13:45
Tokyo Univ. of Tokyo (IIS) Direction estimation using square lattice for cadastral map assembling
Yusuke Takahashi, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2008-236
The technique for automatically assembling the cadastral map separately drawn in each district has been developed. After... [more] PRMU2008-236
pp.169-174
 Results 1 - 13 of 13  /   
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