Invention Grant
- Patent Title: Optimal longitudinal trajectory generation under varied lateral acceleration constraints
-
Application No.: US16160199Application Date: 2018-10-15
-
Publication No.: US10908613B2Publication Date: 2021-02-02
- Inventor: Yajia Zhang
- Applicant: Baidu USA LLC
- Applicant Address: US CA Sunnyvale
- Assignee: Baidu USA LLC
- Current Assignee: Baidu USA LLC
- Current Assignee Address: US CA Sunnyvale
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G05D1/00 ; B60W40/06

Abstract:
In one embodiment, a method, apparatus, and system for planning a trajectory for an autonomous driving vehicle (ADV) is disclosed. The operations comprise: receiving a plurality of optimization inputs, the plurality of optimization inputs comprising a trajectory time length, a time discretization resolution, an autonomous driving vehicle (ADV) starting state, a road shape function, a maximal jerk, and a maximal lateral acceleration; receiving a plurality of optimization constraints, the plurality of optimization constraints comprising constraints relating to the maximal jerk and the maximal lateral acceleration; receiving a cost function associated with an optimization objective, the cost function comprising a first term relating to cumulative jerk, a second term relating to an end longitudinal position, a third term relating to an end longitudinal speed, and a fourth term relating to an end longitudinal acceleration; generating a plurality of planned ADV states as optimization results with nonlinear optimization, wherein the optimization results minimize a value of the cost function; and generating control signals to control the ADV based on the plurality of planned ADV states.
Information query