Developing intelligent blind spot detection system for heavy goods vehicles

Pasi Pyykönen; Ari Virtanen; Arto Kyytinen

doi:10.1109/ICCP.2015.7312674

Developing intelligent blind spot detection system for heavy goods vehicles

Pasi Pyykönen, Ari Virtanen, Arto Kyytinen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

12 Citations (Scopus)

Abstract

Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.

Original language	English
Title of host publication	Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	293 - 298
ISBN (Electronic)	978-1-4673-8200-7, 978-1-4673-8199-4
DOIs	https://doi.org/10.1109/ICCP.2015.7312674
Publication status	Published - 2 Nov 2015
MoE publication type	A4 Article in a conference publication
Event	IEEE 11th International Conference on Intelligent Computer Communication and Processing - Cluj-Napoca, Romania Duration: 3 Sept 2015 → 5 Sept 2015 Conference number: 11

Conference

Conference	IEEE 11th International Conference on Intelligent Computer Communication and Processing
Abbreviated title	ICCP
Country/Territory	Romania
City	Cluj-Napoca
Period	3/09/15 → 5/09/15

Keywords

collision avoidance
driver information systems
injuries
object detection
pedestrians
road accidents
road safety
software reusability

Access to Document

10.1109/ICCP.2015.7312674

Cite this

@inproceedings{3d99ce7e262b40eba797ba5aa716c088,

title = "Developing intelligent blind spot detection system for heavy goods vehicles",

abstract = "Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.",

keywords = "collision avoidance, driver information systems, injuries, object detection, pedestrians, road accidents, road safety, software reusability",

author = "Pasi Pyyk{\"o}nen and Ari Virtanen and Arto Kyytinen",

note = "SDA: SHP: TransSmart ; IEEE 11th International Conference on Intelligent Computer Communication and Processing, ICCP ; Conference date: 03-09-2015 Through 05-09-2015",

year = "2015",

month = nov,

day = "2",

doi = "10.1109/ICCP.2015.7312674",

language = "English",

pages = "293 -- 298",

booktitle = "Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Pyykönen, P , Virtanen, A & Kyytinen, A 2015, Developing intelligent blind spot detection system for heavy goods vehicles. in Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers, pp. 293 - 298, IEEE 11th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 3/09/15. https://doi.org/10.1109/ICCP.2015.7312674

Developing intelligent blind spot detection system for heavy goods vehicles. / Pyykönen, Pasi ; Virtanen, Ari; Kyytinen, Arto.
Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers, 2015. p. 293 - 298.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Pyykönen, Pasi

AU - Virtanen, Ari

AU - Kyytinen, Arto

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N2 - Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.

AB - Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.

KW - collision avoidance

KW - driver information systems

KW - injuries

KW - object detection

KW - pedestrians

KW - road accidents

KW - road safety

KW - software reusability

U2 - 10.1109/ICCP.2015.7312674

DO - 10.1109/ICCP.2015.7312674

M3 - Conference article in proceedings

SP - 293

EP - 298

BT - Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE 11th International Conference on Intelligent Computer Communication and Processing

Y2 - 3 September 2015 through 5 September 2015

ER -

Developing intelligent blind spot detection system for heavy goods vehicles

Abstract

Conference

Keywords

Access to Document

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Cite this