Visibility estimation in foggy conditions by in-vehicle camera and radar

被引：0

作者：

Mori, Kenji ^{[1
]}

Kato, Terutoshi ^{[1
]}

Takahashi, Tomokazu ^{[1
]}

Ide, Ichiro ^{[1
]}

Murase, Hiroshi ^{[1
]}

Miyahara, Takayuki ^{[2
]}

Tamatsu, Yukimasa ^{[2
]}

机构：

[1] Nagoya Univ, Grad Sch Informat Sci, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648603, Japan

[2] DENSO CORP, Aichi, Japan

来源：

ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年

关键词：

fog; visibility; in-vehicle camera;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a method of judging fog density by using in-vehicle camera images and millimeter-wave (mm-W) radar data. This method determines fog density by evaluating both the visibility of a preceding vehicle and the distance to it. Experiments revealed that judgments made by the proposed method achieved an 85% precision rate compared to that made by human subjects.

引用

页码：548 / +

页数：2

共 50 条

[31] In-Vehicle Passenger Detection Using FMCW Radar
Song, Heemang
Yoo, Youngkeun
Shin, Hyun-Chool
35TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2021), 2021, : 644 - 647
[32] Visibility estimation under night-time conditions using a multiband camera
Kidono, Kiyosumi
Ninomiya, Yoshiki
2007 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2007, : 482 - 487
[33] A Deep Learning Approach for Multiple Weather Conditions Detection Based on In-Vehicle Dash Camera Video
Li, Lizhe
Ahmed, Mohamed M.
INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, ICTD 2024, 2024, : 468 - 478
[34] Development of visibility assessment methods with digital images under foggy conditions
Hagiwara, T
Kizaka, K
Fujita, S
TRAFFIC CONTROL DEVICES, VISIBILITY, AND RAIL-HIGHWAY GRADE CROSSINGS 2004, 2004, (1862): : 95 - 108
[35] Acquisition of position and direction of in-vehicle camera for HIR System
Koyamaishi, M
Sakai, H
Fujii, T
Tanimoto, M
2004 IEEE INTELLIGENT VEHICLES SYMPOSIUM, 2004, : 848 - 853
[36] Combination of Roadside and In-Vehicle Sensors for Extensive Visibility Range Monitoring
Hautiere, Nicolas
Boubezoul, Abderrahmane
AVSS: 2009 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, 2009, : 388 - 393
[37] Detection of raindrops on a windshield from an in-vehicle video camera
Kurihata, Hiroyuki
Takahashi, Tomokazu
Ide, Ichiro
Mekada, Yoshito
Murase, Hiroshi
Tamatsu, Yukimasa
Miyahara, Takayuki
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2007, 3 (6B): : 1583 - 1591
[38] Vision-based Rain Sensing with an In-Vehicle Camera
Goermer, Steffen
Kummert, Anton
Park, Su-Birrn
Egbert, Peter
2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 279 - 284
[39] Road Boundary Detection using In-vehicle Monocular Camera
Goro, Kazuki
Onoguchi, Kazunori
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018), 2018, : 379 - 387
[40] An Evaluation Method of Driving Behavior by In-Vehicle Data Camera
Ishizaki, Ryo
Morimoto, Masakazu
Fujii, Kensaku
PROCEEDINGS OF THE 2012 FIFTH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2012), 2012, : 293 - 297

← 1 2 3 4 5 →