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    • 4. 发明公开
    • SENSOR FIELD SELECTION
    • SENSORFELDAUSWAHL
    • EP2771751A4
    • 2015-09-16
    • EP11867078
    • 2011-09-30
    • GOOGLE INC
    • FAIRFIELD NATHANIELZHU JIAJUNDOLGOV DMITRI A
    • G05D1/02B60W30/00B60W30/08B60W40/02
    • G05D1/024G05D1/0246G05D1/0255G05D2201/0213
    • Aspects of the present disclosure relate generally to safe and effective use of autonomous vehicles. More specifically, an autonomous vehicle is able to detect objects in its surroundings which are within the sensor fields. In response to detecting objects, the computer may adjust the autonomous vehicle's speed or change direction. In some examples, however, the sensor fields may be changed or become less reliable based on objects or other features in the vehicle's surroundings. As a result, the vehicle's computer may calculate the size and shape of the area of sensor diminution and a new sensor field based on this area of diminution. In response to identifying the area of sensor diminution or the new sensor field, the vehicle's computer may change the control strategies of the vehicle.
    • 本公开的方面通常涉及自主车辆的安全和有效的使用。 更具体地,自主车辆能够检测其周围的传感器场内的物体。 响应于检测对象,计算机可以调整自主车辆的速度或改变方向。 然而,在一些示例中,可以基于车辆周围环境中的物体或其它特征改变传感器场或变得不可靠。 因此,车辆的计算机可以计算出传感器减小面积的大小和形状以及基于该减小区域的新的传感器场。 响应于识别传感器减小的区域或新的传感器场,车辆的计算机可以改变车辆的控制策略。
    • 7. 发明公开
    • MODIFYING BEHAVIOR OF AUTONOMOUS VEHICLES BASED ON SENSOR BLIND SPOTS AND LIMITATIONS
    • VERHALTENSMODIFIZIERUNG VON AUTONOMEN FAHRZEUGEN AUF基于VON TOTPUNKTEN UND BEGRENZUNGEN
    • EP2948928A4
    • 2016-10-05
    • EP14743710
    • 2014-01-17
    • GOOGLE INC
    • DOLGOV DMITRI AURMSON CHRISTOPHER PAUL
    • G05D1/02B60W30/18B60W50/00G06T17/00
    • G05D1/0274B60W30/18154B60W2050/0095B60W2550/12G05D1/0248G05D1/0257G05D1/0276G05D2201/0213
    • Models can be generated of a vehicle's view of its environment and used to maneuver the vehicle. This view need not include what objects or features the vehicle is actually seeing, but rather those areas that the vehicle is able to observe using its sensors if the sensors were completely un-occluded. For example, for each of a plurality of sensors of the object detection component, a computer may generate an individual 3D model of that sensor's field of view. Weather information is received and used to adjust one or more of the models. After this adjusting, the models may be aggregated into a comprehensive 3D model. The comprehensive model may be combined with detailed map information indicating the probability of detecting objects at different locations. The model of the vehicle's environment may be computed based on the combined comprehensive 3D model and detailed map information.
    • 可以产生车辆对其环境的视野的模型,并用于操纵车辆。 该视图不需要包括车辆实际看到的物体或特征,而是车辆能够使用其传感器观察的那些区域,如果传感器完全不被遮挡。 例如,对于物体检测部件的多个传感器中的每一个,计算机可以生成该传感器的视场的单独的3D模型。 接收天气信息并用于调整一个或多个模型。 经过调整,模型可能会聚合成一个全面的3D模型。 综合模型可以与指示在不同位置检测物体的概率的详细地图信息相结合。 车辆环境模型可以基于综合的综合3D模型和详细的地图信息进行计算。