TY - GEN
T1 - Lane-based safety assessment of road scenes using inevitable collision states
AU - Althoff, Daniel
AU - Werling, Moritz
AU - Kaempchen, Nico
AU - Wollherr, Dirk
AU - Buss, Martin
PY - 2012
Y1 - 2012
N2 - This paper presents a method for reasoning about the safety of traffic situations. More precisely, the problem of safety assessment for partial trajectories for vehicles is addressed. Therefore, the Inevitable Collision States (ICS) as well as its probabilistic generalization the Probabilistic Collision States (PCS) are used. Thereby, the assessment is performed for an infinite time horizon. For solving the ICS computation nonlinear programming is applied. In addition to the safety assessment an evaluation of the disturbance of the other traffic participants by the ego vehicle is presented. The results are integrated into an optimal control based planning approach that generates minimum jerk trajectories. An example implementation of the proposed framework is applied to simulation scenarios that demonstrates the necessity of the presented method for guaranteeing motion safety.
AB - This paper presents a method for reasoning about the safety of traffic situations. More precisely, the problem of safety assessment for partial trajectories for vehicles is addressed. Therefore, the Inevitable Collision States (ICS) as well as its probabilistic generalization the Probabilistic Collision States (PCS) are used. Thereby, the assessment is performed for an infinite time horizon. For solving the ICS computation nonlinear programming is applied. In addition to the safety assessment an evaluation of the disturbance of the other traffic participants by the ego vehicle is presented. The results are integrated into an optimal control based planning approach that generates minimum jerk trajectories. An example implementation of the proposed framework is applied to simulation scenarios that demonstrates the necessity of the presented method for guaranteeing motion safety.
UR - http://www.scopus.com/inward/record.url?scp=84865021332&partnerID=8YFLogxK
U2 - 10.1109/IVS.2012.6232145
DO - 10.1109/IVS.2012.6232145
M3 - Conference contribution
AN - SCOPUS:84865021332
SN - 9781467321198
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 31
EP - 36
BT - 2012 IEEE Intelligent Vehicles Symposium, IV 2012
T2 - 2012 IEEE Intelligent Vehicles Symposium, IV 2012
Y2 - 3 June 2012 through 7 June 2012
ER -