Object detection for neighbor map construction in an IoV system

Kuan Wen Chen; Shen Chi Chen; Kevin Lin; Ming Hsuan Yang; Chu Song Chen; Yi Ping Hung

doi:10.1109/iThings.2014.54

Object detection for neighbor map construction in an IoV system

Kuan Wen Chen, Shen Chi Chen, Kevin Lin, Ming Hsuan Yang, Chu Song Chen, Yi Ping Hung

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Many applications of machine-to-machine (M2M) based intelligent transportation systems highly rely on the accurate estimation of neighbor map, where neighbor map mentions the locations of all nearby vehicles and pedestrians. To build the neighbor map, it usually integrates multiple sensors, such as GPS, odometer, inertial measurement unit (IMU), laser scanners, cameras, and RGB-D cameras. In this paper, we build a M2M framework to estimate the neighbor map and focus on the improvement of vehicle and pedestrian detection of most popular sensors, camera. We propose a novel grid-based object detection approach and deal with cameras on both roadside units and vehicles. It adapts to the environments and achieves high accuracy, and can be used to improve the performance of neighbor map estimation.

Original language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	300-303
Number of pages	4
ISBN (Electronic)	9781479959679
DOIs	https://doi.org/10.1109/iThings.2014.54
Publication status	Published - 2014 Mar 12
Event	2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 - Taipei, Taiwan, Province of China Duration: 2014 Sep 1 → 2014 Sep 3

Publication series

Name	Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014

Conference

Conference	2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014
Country	Taiwan, Province of China
City	Taipei
Period	14/9/1 → 14/9/3

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Human-Computer Interaction

Access to Document

10.1109/iThings.2014.54

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Chen, K. W., Chen, S. C., Lin, K., Yang, M. H., Chen, C. S., & Hung, Y. P. (2014). Object detection for neighbor map construction in an IoV system. In Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014 (pp. 300-303). [7059679] (Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iThings.2014.54

Chen, Kuan Wen ; Chen, Shen Chi ; Lin, Kevin ; Yang, Ming Hsuan ; Chen, Chu Song ; Hung, Yi Ping. / Object detection for neighbor map construction in an IoV system. Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 300-303 (Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014).

@inproceedings{e4d298dd1b0e425c9f1b28de5a3d85b7,

title = "Object detection for neighbor map construction in an IoV system",

abstract = "Many applications of machine-to-machine (M2M) based intelligent transportation systems highly rely on the accurate estimation of neighbor map, where neighbor map mentions the locations of all nearby vehicles and pedestrians. To build the neighbor map, it usually integrates multiple sensors, such as GPS, odometer, inertial measurement unit (IMU), laser scanners, cameras, and RGB-D cameras. In this paper, we build a M2M framework to estimate the neighbor map and focus on the improvement of vehicle and pedestrian detection of most popular sensors, camera. We propose a novel grid-based object detection approach and deal with cameras on both roadside units and vehicles. It adapts to the environments and achieves high accuracy, and can be used to improve the performance of neighbor map estimation.",

author = "Chen, {Kuan Wen} and Chen, {Shen Chi} and Kevin Lin and Yang, {Ming Hsuan} and Chen, {Chu Song} and Hung, {Yi Ping}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 ; Conference date: 01-09-2014 Through 03-09-2014",

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doi = "10.1109/iThings.2014.54",

language = "English",

series = "Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "300--303",

booktitle = "Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014",

address = "United States",

}

Chen, KW, Chen, SC, Lin, K, Yang, MH, Chen, CS & Hung, YP 2014, Object detection for neighbor map construction in an IoV system. in Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014., 7059679, Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014, Institute of Electrical and Electronics Engineers Inc., pp. 300-303, 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014, Taipei, Taiwan, Province of China, 14/9/1. https://doi.org/10.1109/iThings.2014.54

Object detection for neighbor map construction in an IoV system. / Chen, Kuan Wen; Chen, Shen Chi; Lin, Kevin; Yang, Ming Hsuan; Chen, Chu Song; Hung, Yi Ping.

Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 300-303 7059679 (Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Object detection for neighbor map construction in an IoV system

AU - Chen, Kuan Wen

AU - Chen, Shen Chi

AU - Lin, Kevin

AU - Yang, Ming Hsuan

AU - Chen, Chu Song

AU - Hung, Yi Ping

PY - 2014/3/12

Y1 - 2014/3/12

N2 - Many applications of machine-to-machine (M2M) based intelligent transportation systems highly rely on the accurate estimation of neighbor map, where neighbor map mentions the locations of all nearby vehicles and pedestrians. To build the neighbor map, it usually integrates multiple sensors, such as GPS, odometer, inertial measurement unit (IMU), laser scanners, cameras, and RGB-D cameras. In this paper, we build a M2M framework to estimate the neighbor map and focus on the improvement of vehicle and pedestrian detection of most popular sensors, camera. We propose a novel grid-based object detection approach and deal with cameras on both roadside units and vehicles. It adapts to the environments and achieves high accuracy, and can be used to improve the performance of neighbor map estimation.

AB - Many applications of machine-to-machine (M2M) based intelligent transportation systems highly rely on the accurate estimation of neighbor map, where neighbor map mentions the locations of all nearby vehicles and pedestrians. To build the neighbor map, it usually integrates multiple sensors, such as GPS, odometer, inertial measurement unit (IMU), laser scanners, cameras, and RGB-D cameras. In this paper, we build a M2M framework to estimate the neighbor map and focus on the improvement of vehicle and pedestrian detection of most popular sensors, camera. We propose a novel grid-based object detection approach and deal with cameras on both roadside units and vehicles. It adapts to the environments and achieves high accuracy, and can be used to improve the performance of neighbor map estimation.

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M3 - Conference contribution

AN - SCOPUS:84946685894

T3 - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014

SP - 300

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BT - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014

Y2 - 1 September 2014 through 3 September 2014

ER -

Chen KW, Chen SC, Lin K, Yang MH, Chen CS, Hung YP. Object detection for neighbor map construction in an IoV system. In Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 300-303. 7059679. (Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014). https://doi.org/10.1109/iThings.2014.54

Object detection for neighbor map construction in an IoV system

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