TY - GEN
T1 - Design and implementation of an intelligent road detection system with multisensor integration
AU - Hsu, Ya Wen
AU - Perng, Jau Woei
AU - Wu, Zong Han
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Nowadays, drivers cannot avoid bumpy roads because of unfamiliarity with traffic conditions, and poor visibility may cause traffic accidents. Therefore, the state of the roadways and driving safety are important topics. In this paper, the main experimental equipment is a golf cart equipped with a webcam, laser range finder, inertial measurement unit (IMU) and real-time kinematics differential global positioning system (RTK-DGPS), comprising an intelligent road detection system. Multisensor integration was used to implement pothole detection and roadway quality analysis, which improved the accuracy of the system. Finally, the system will gather the results of various functions and add a place mark on Google Maps of the user interface to notify drivers of nearby traffic. The proposed intelligent road detection system includes pothole detection and roadway quality analysis. This system displays the information at the front of the roadway so that drivers can avoid rough roadways, decreasing the chance of a traffic accident, and facilitating a safe and comfortable driving environment.
AB - Nowadays, drivers cannot avoid bumpy roads because of unfamiliarity with traffic conditions, and poor visibility may cause traffic accidents. Therefore, the state of the roadways and driving safety are important topics. In this paper, the main experimental equipment is a golf cart equipped with a webcam, laser range finder, inertial measurement unit (IMU) and real-time kinematics differential global positioning system (RTK-DGPS), comprising an intelligent road detection system. Multisensor integration was used to implement pothole detection and roadway quality analysis, which improved the accuracy of the system. Finally, the system will gather the results of various functions and add a place mark on Google Maps of the user interface to notify drivers of nearby traffic. The proposed intelligent road detection system includes pothole detection and roadway quality analysis. This system displays the information at the front of the roadway so that drivers can avoid rough roadways, decreasing the chance of a traffic accident, and facilitating a safe and comfortable driving environment.
KW - Multi-sensors integration
KW - Pothole detection
KW - Roadway quality analysis
UR - http://www.scopus.com/inward/record.url?scp=85021091628&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2016.7860904
DO - 10.1109/ICMLC.2016.7860904
M3 - Conference contribution
AN - SCOPUS:85021091628
T3 - Proceedings - International Conference on Machine Learning and Cybernetics
SP - 219
EP - 225
BT - Proceedings of 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016
PB - IEEE Computer Society
T2 - 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016
Y2 - 10 July 2016 through 13 July 2016
ER -
