SMOOTH ROAD REFERENCE LINE FOR AUTONOMOUS DRIVING VEHICLES BASED ON 2D CONSTRAINED SMOOTHING SPLINE

    公开(公告)号:US20190086932A1

    公开(公告)日:2019-03-21

    申请号:US15707236

    申请日:2017-09-18

    申请人: Baidu USA LLC

    IPC分类号: G05D1/02 G08G1/16 G06K9/00

    摘要: According to some embodiments, a system determines a number of boundary areas having predetermined dimensions centered around each of a number of control points of a first reference line. The system selects a number of two-dimensional polynomials each representing a segment of an optimal reference line between adjacent control points. The system defines a set of constraints to the two-dimensional polynomials to at least ensure the two-dimensional polynomials passes through each of the boundary areas. The system performs a quadratic programming (QP) optimization on a target function such that a total cost of the target function reaches minimum while the set of constraints are satisfied. The system generates a second reference line representing the optimal reference line based on the QP optimization to control the ADV autonomously according to the second reference line.

    A TUNNEL-BASED PLANNING SYSTEM FOR AUTONOMOUS DRIVING VEHICLES

    公开(公告)号:US20210278849A1

    公开(公告)日:2021-09-09

    申请号:US16099675

    申请日:2018-09-28

    申请人: Baidu USA LLC

    IPC分类号: G05D1/02 B60W60/00 B60W30/09

    摘要: According to one embodiment, a system receives a captured image perceiving an environment of an ADV from an image capturing device of the ADV capturing a plurality of obstacles near the ADV. The system generates a first tunnel based on a width of a road lane for the ADV, where the first tunnel represents a passable lane for the ADV to travel through. The system generates one or more additional tunnels based on locations of the obstacles, where the one or more additional tunnels modify a width of the passable lane according to a level of invasiveness of the obstacles. The system generates a trajectory of the ADV based on the first and the additional tunnels to control the ADV according to the trajectory to navigate around the obstacles without collision.

    PATH OPTIMIZATION BASED ON CONSTRAINED SMOOTHING SPLINE FOR AUTONOMOUS DRIVING VEHICLES

    公开(公告)号:US20190086925A1

    公开(公告)日:2019-03-21

    申请号:US15707253

    申请日:2017-09-18

    申请人: Baidu USA LLC

    IPC分类号: G05D1/02 G05D1/00

    摘要: According to some embodiments, a system segments a first path trajectory selected from an initial location of the ADV into a number of path segments, where each path segment is represented by a polynomial function. The system selects an objective function in view of the polynomial functions of the path segments for smoothing connections between the path segments. The system defines a set of constraints to the polynomial functions based on adjacent path segments in view of at least a road boundary and an obstacle perceived by the ADV. The system performs a quadratic programming (QP) optimization on the objective function in view of the added constraints, such that an output of the objective function reaches a minimum. The system generates a second path trajectory representing a path trajectory with an optimized objective function based on the QP optimization to control the ADV autonomously.

    METHOD AND SYSTEM FOR DETERMINING OPTIMAL COEFFICIENTS OF CONTROLLERS FOR AUTONOMOUS DRIVING VEHICLES

    公开(公告)号:US20180364657A1

    公开(公告)日:2018-12-20

    申请号:US15627970

    申请日:2017-06-20

    申请人: Baidu USA LLC

    IPC分类号: G05B13/04 G05D1/02 G05D1/00

    摘要: Driving parameters (e.g., speed, heading direction) that an autonomous driving vehicle (ADV) likely utilize as target driving parameters are grouped into a number of ranges and one of the driving parameters in each range is selected as a driving parameter representative or a target driving parameter representing the respective range or segment. For each of the target driving parameters representing the ranges, a particle swarm optimization method is utilized to derive a set of most optimized coefficients for a controller (e.g., speed controller, steering controller) for controlling an ADV. A driving parameter to coefficient (parameter/coefficient) mapping table is generated to map a particular driving parameter representing a range of driving parameter to a set of one or more coefficients of a particular controller. The parameter/coefficient mapping table is utilized at real-time to configure a controller in response to a particular target driving parameter using the corresponding coefficients.

    SCALABLE SMOOTH REFERENCE PATH GENERATOR FOR AUTONOMOUS DRIVING VEHICLES

    公开(公告)号:US20180348761A1

    公开(公告)日:2018-12-06

    申请号:US15610064

    申请日:2017-05-31

    申请人: Baidu USA LLC

    IPC分类号: G05D1/00 G05D1/02

    摘要: In one embodiment, a computer system generates a first vehicular path based on map information. The system collects data points representing geographical coordinates of vehicles that drove on a vehicular path lane at different points in time. The system segments the first vehicular path into path segments based on the collected data points. For each of the path segments, the system applies a smoothing function to select a subset of the data points that are within a predetermined proximity of the corresponding path segment and calculates a segment reference point to represent the path segment by combining the selected data points. The segment reference points of the path segments of the first vehicular path are interpolated to generate a second vehicular path such that the second vehicular path is used as a reference line to control ADVs driving on the first vehicular path.