Title :
Collision avoidance improvement using a risky area
Author :
Maranga, A. Amadou ; Zhu, Hengliang ; Gingras, Denis ; Gruyer, Dominique
Abstract :
The approach presented in this paper deals with the safety while driving. Keeping a headway distance between two vehicles is mandatory in order to avoid a collision. It is also important to take into account the length of the concerned vehicle mainly if a sudden break occurs. The idea of zone of collision is therefore useful. An estimate of vehicles location and their respective uncertainty is first computed then area of collision is performed using the length of the vehicles and the probability density function of their position. Other ADAS application such as ACC, collision avoidance, lane change assistance... can be improved. Thank to this concept a driver can react immediately once getting close to the estimated risky zone.
Keywords :
collision avoidance; estimation theory; probability; road safety; road traffic control; ACC; ADAS application; collision avoidance improvement; headway distance; lane change assistance; probability density function; risky area; vehicle location; Collision avoidance; Estimation; Probability density function; Safety; Sensors; Uncertainty; Vehicles; Kalman filter; active safety system; collision avoidance; probability density function; stopping distance;
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
Conference_Location :
Trois-Rivieres, QC
DOI :
10.1109/NEWCAS.2014.6934041