发明者
Joshua D Redding, Luke B Johnson, Martin Levihn, Nicolas F Meuleau, Sebastian Brechtel
发表日期
2020/9/8
专利局
US
专利号
10769525
专利申请号
15713326
简介
A behavior planner for a vehicle generates a plurality of conditional action sequences of the vehicle using a tree search algorithm and heuristics obtained from one or more machine learning models. Each sequence corresponds to a sequence of anticipated states of the vehicle. At least some of the action sequences are provided to a motion selector of the vehicle. The motion selector generates motion-control directives based on the received conditional action sequences and on data received from one or more sensors of the vehicle, and transmits the directives to control subsystems of the vehicle.
引用总数
20192020202120222023202441920386922
学术搜索中的文章
JD Redding, LB Johnson, M Levihn, NF Meuleau… - US Patent 10,769,525, 2020