Abstract
| Language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Pages | 563-568 |
| Number of pages | 698 |
| DOIs | |
| Publication status | Published - 24 Sep 2015 |
| Event | 2015 IEEE 39th Annual International Computers, Software & Applications Conference - Duration: 17 Apr 2015 → … |
Conference
| Conference | 2015 IEEE 39th Annual International Computers, Software & Applications Conference |
|---|---|
| Period | 17/04/15 → … |
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Keywords
- mobile application
- lane detection
- vehicle detection
- distance estimation
- real-time
Cite this
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Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform. / Tang, Samuel Jia Wei; Ng, Kok Yew; Khoo, Boon How; Parkkinen, Jussi.
Unknown Host Publication. 2015. p. 563-568.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform
AU - Tang, Samuel Jia Wei
AU - Ng, Kok Yew
AU - Khoo, Boon How
AU - Parkkinen, Jussi
PY - 2015/9/24
Y1 - 2015/9/24
N2 - Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rearend collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.
AB - Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rearend collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.
KW - mobile application
KW - lane detection
KW - vehicle detection
KW - distance estimation
KW - real-time
U2 - 10.1109/COMPSAC.2015.171
DO - 10.1109/COMPSAC.2015.171
M3 - Conference contribution
SP - 563
EP - 568
BT - Unknown Host Publication
ER -