TY - GEN
T1 - Maneuver-based risk assessment for high-speed automotive scenarios
AU - Lawitzky, Andreas
AU - Wollherr, Dirk
AU - Buss, Martin
PY - 2012
Y1 - 2012
N2 - This work presents a novel approach for collision assessment for automotive environments. As collision prevention and risk analysis are key challenges for today's intelligent transport systems, sophisticated solutions for a collision-free trajectory generation get indispensable. The presented collision checker is integrated into an optimal control based planning framework that generates minimum jerk trajectories for arbitrary maneuvers.
AB - This work presents a novel approach for collision assessment for automotive environments. As collision prevention and risk analysis are key challenges for today's intelligent transport systems, sophisticated solutions for a collision-free trajectory generation get indispensable. The presented collision checker is integrated into an optimal control based planning framework that generates minimum jerk trajectories for arbitrary maneuvers.
UR - http://www.scopus.com/inward/record.url?scp=84872362891&partnerID=8YFLogxK
U2 - 10.1109/IROS.2012.6385825
DO - 10.1109/IROS.2012.6385825
M3 - Conference contribution
AN - SCOPUS:84872362891
SN - 9781467317375
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 1186
EP - 1191
BT - 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012
T2 - 25th IEEE/RSJ International Conference on Robotics and Intelligent Systems, IROS 2012
Y2 - 7 October 2012 through 12 October 2012
ER -