Standing Human Detection Method Using 2D-LiDARs

被引：1

作者：

Watanabe, Takuya ^{[1
]}

Terashima, Yoshiaki ^{[2
]}

Kiyohara, Ryozo ^{[1
]}

机构：

[1] Kanagawa Inst Technol, Atsugi, Kanagawa, Japan

[2] Soka Univ, Hachioji, Tokyo, Japan

来源：

2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC | 2023年

关键词：

2D-LiDAR; human detection; security guard robot; autonomous cart; RECOGNITION;

D O I：

10.1109/COMPSAC57700.2023.00191

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Recently, autonomous vehicle technologies have been widely developed. Moreover, these technologies are applied to autonomous carts for security guards, guidance robots, delivery carts, etc. A variety of human detection technologies are important for these robotic carts. There are many studies on avoiding collisions with humans and other obstacles. However, technologies to distinguish between humans and other obstacles are especially important for security guard robots. In this paper, we propose a standing human detection method using 2D-LiDARs to reduce costs. We show the details of our methods and results of evaluation.

引用

页码：1260 / 1265

页数：6

共 11 条

[1]

charlesq34, US

[2] HUMAN AND MACHINE RECOGNITION OF FACES - A SURVEY [J].

CHELLAPPA, R ;

WILSON, CL ;

SIROHEY, S .

PROCEEDINGS OF THE IEEE, 1995, 83 (05) :705-740

[3] Monocular Pedestrian Detection: Survey and Experiments [J].

Enzweiler, Markus ;

Gavrila, Dariu M. .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, 31 (12) :2179-2195

[4]

Jetson-AGX, US

[5]

jp. mathworks, CLASSIFY POINTS CLOU

[6]

Kirchner N, 2012, IEEE INT CONF ROBOT, P1226, DOI 10.1109/ICRA.2012.6224901

[7]

Nagai Y., 2022, 2022 IEEE INT C CONS

[8] A survey on vision-based human action recognition [J].

Poppe, Ronald .

IMAGE AND VISION COMPUTING, 2010, 28 (06) :976-990

[9]

slamtec, RPLIDAR A1

[10]

Spinello L, 2010, AAAI CONF ARTIF INTE, P1625

← 1 2 →