TY - GEN
T1 - A Speed Planning Method Based on Time Domain of Unmanned Ground Vehicle
AU - Zhang, Sheng
AU - Wu, Shaobin
AU - Li, Derun
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/3/5
Y1 - 2021/3/5
N2 - Speed planning ensures safety and ride comfort, and gives a reasonable driving speed for unmanned ground vehicles. Most velocity planning methods based on arc-length of a given local path are inconvenient when considering comfort constraints such as jerk and safe constraints such as lateral acceleration. In this paper, an innovative method is proposed to establish a speed curve model of multiple segment quadratic curves with respect to time domain, and the adjustment method which is dividing quadratic curves units and preinstalling jerk of local velocity curves under the constraint of different velocity correlation variables is described. In practice, the velocity profile satisfying the constraint is obtained through three steps. The first is multiple iterations which are necessary to change the speed profile. The second is jerk boundary adjustment including safety and comfort. The third step is assigning the velocity value to each point of the local path. Furthermore, Simulation result of unmanned vehicle road entrance ramp merging scenario shows the effectiveness of the proposed method through presetting driving conditions and constraints.
AB - Speed planning ensures safety and ride comfort, and gives a reasonable driving speed for unmanned ground vehicles. Most velocity planning methods based on arc-length of a given local path are inconvenient when considering comfort constraints such as jerk and safe constraints such as lateral acceleration. In this paper, an innovative method is proposed to establish a speed curve model of multiple segment quadratic curves with respect to time domain, and the adjustment method which is dividing quadratic curves units and preinstalling jerk of local velocity curves under the constraint of different velocity correlation variables is described. In practice, the velocity profile satisfying the constraint is obtained through three steps. The first is multiple iterations which are necessary to change the speed profile. The second is jerk boundary adjustment including safety and comfort. The third step is assigning the velocity value to each point of the local path. Furthermore, Simulation result of unmanned vehicle road entrance ramp merging scenario shows the effectiveness of the proposed method through presetting driving conditions and constraints.
KW - Jerk boundary
KW - Speed planning
KW - Time domain
KW - Unmanned ground vehicle
UR - http://www.scopus.com/inward/record.url?scp=85114557088&partnerID=8YFLogxK
U2 - 10.1145/3461353.3461379
DO - 10.1145/3461353.3461379
M3 - Conference contribution
AN - SCOPUS:85114557088
T3 - ACM International Conference Proceeding Series
SP - 228
EP - 233
BT - ICIAI 2021- 5th International Conference on Innovation in Artificial Intelligence
PB - Association for Computing Machinery
T2 - 5th International Conference on Innovation in Artificial Intelligence, ICIAI 2021
Y2 - 5 March 2021 through 8 March 2021
ER -