VIBRATION DAMPING CONTROL DEVICE FOR VEHICLE
    61.
    发明公开

    公开(公告)号:EP3428029A2

    公开(公告)日:2019-01-16

    申请号:EP18178328.3

    申请日:2007-10-17

    摘要: There is provided a vibration damping control device which suppresses pitching and bouncing vibration of a vehicle through a drive output control based on a wheel torque estimated value estimated with a wheel speed, etc., which device uses the estimated value of a wheel torque while taking into account conditions where no good estimation of the wheel torque is executable. The vibration damping control device comprises a wheel torque estimated value acquisition portion which acquires a wheel torque estimated value; and a driving torque control portion which controls a driving torque of the vehicle to suppress pitching or bouncing vibrational amplitudes based on the wheel torque estimated value, wherein the absolute value or the sign of the wheel torque estimated value is corrected in accordance with the degree of a slip of the wheel or the direction of movement of the vehicle. Further, there is provided a torque estimating device suitable for a vibration damping control and other running, motional or braking-driving force controls for a vehicle, etc.

    PLANNING FEEDBACK BASED DECISION IMPROVEMENT SYSTEM FOR AUTONOMOUS DRIVING VEHICLE
    64.
    发明公开
    PLANNING FEEDBACK BASED DECISION IMPROVEMENT SYSTEM FOR AUTONOMOUS DRIVING VEHICLE 审中-公开
    基于规划反馈的自主驾驶车辆决策改进系统

    公开(公告)号:EP3321757A1

    公开(公告)日:2018-05-16

    申请号:EP17186810.2

    申请日:2017-08-18

    申请人: Baidu USA LLC

    IPC分类号: G05D1/02 B60W30/00

    摘要: In one embodiment, systems and methods are disclosed for a planning-driven framework for an autonomous driving vehicle (ADV) driving decision system. Driving decisions are classified into at least seven categories, including: conservative decision, aggressive decision, conservative parameters, aggressive parameters, early decision, late decision, and non-decision problem. Using the outputs of an ADV decision planning module, an ADV driving decision problem is identified, categorized, and diagnosed. A local driving decision improvement can be determined and executed in a short time frame on the ADV. For a long term solution, if needed, the driving decision problem can be uploaded to an analytics server. The driving decision problems from a large plurality of ADVs can be aggregated and analyzed for improving the ADV decisions system for all ADVs.

    摘要翻译: 在一个实施例中,公开了用于自主驾驶车辆(ADV)驾驶决策系统的规划驱动框架的系统和方法。 驾驶决策分为至少七类,包括:保守决策,积极决策,保守参数,积极参数,早期决策,迟到决策和非决策问题。 使用ADV决策计划模块的输出,识别,分类和诊断ADV驾驶决策问题。 ADV可以在短时间内确定并执行本地驾驶决策改进。 对于长期解决方案,如果需要,驾驶决策问题可以上传到分析服务器。 来自大量ADV的驾驶决策问题可以被汇总和分析以改进所有ADV的ADV决策系统。