The invention relates to scene recognition in an autonomous driving environment. The method includes acquiring a risk map of an environment of the vehicle. The actuation capability includes an uncertainty estimate for the actuation capability, and the position of the free space region includes an uncertainty estimate for the estimated position of the free space region. The risk map includes risk parameters for each of a plurality of zone segments included in the surroundings of the vehicle. A composite risk value for the ADS is determined based on risk parameters for a set of zone segments of the risk map. The scene trigger is monitored by at least one of the determined composite risk value relative to a composite risk trigger threshold, a development of the risk map over time relative to a map volatility trigger threshold, and a development of the composite risk value over time relative to a risk volatility threshold. If a scene trigger is detected, sensor data is stored from a time period near a point in time of the scene trigger.
本公开涉及自主驾驶环境中的场景识别。方法包括获取运载工具的周围环境的风险地图。致动能力包括对于致动能力的不确定性估计,并且自由空间区域的位置包括对于自由空间区域的估计的位置的不确定性估计。风险地图包括运载工具的周围环境中所包括的多个区域段中的每个区域段的风险参数。基于风险地图的一组区域段的风险参数来确定ADS的复合风险值。通过以下项中的至少一项监视场景触发:相对于复合风险触发阈值的所确定的复合风险值、相对于地图波动性触发阈值的风险地图的随着时间的推移的发展,以及相对于风险波动性阈值的复合风险值的随着时间的推移的发展。如果检测到场景触发,存储来自场景触发的时间点附近的时间段的传感器数据。
Scene recognition in autonomous driving environment
自主驾驶环境中的场景识别
2022-04-05
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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