Abstract: A method performed by a behavioral analyzing system for detection of an emergency vehicle approaching a vehicle from behind. The system derives a road configuration of a road along which the vehicle, based on ego-vehicle position obtained with support from localization sensors on-board the vehicle, is or was positioned. The system further determines unconventional driving criteria in view of the road configuration. The system determines based on surrounding vehicle detection data of a first and at least a second surrounding vehicle, obtained with support from surrounding detecting sensors on-board the vehicle, a respective first and at least a second surrounding vehicle trajectory along at least the road section. The system determines, when the first and the at least second surrounding vehicle trajectory fulfill at least a portion of the unconventional driving criteria, that an emergency vehicle is deemed to be approaching the vehicle from behind.

Abstract: An object validation system for validating perceived surrounding objects to support safety-critical threat assessment governing emergency maneuvering of an ADS on-board a vehicle. The system stores in respective sensor/modality-specific data buffers, respective sensor/modality-specific sensor data obtained at least during a predeterminable time interval continuously and/or intermittently from one or more vehicle-mounted surrounding detecting sensors. The system determines with support from a perception module configured to generate perception data based on sensor data from one or more vehicle-mounted surrounding detecting sensors, object data of a perceived object valid for the time interval. The system evaluates one or more of the respective sensor/modality-specific data buffers, separately, in view of the object data.

Abstract: A method performed by a behavioral analyzing system for detection of an emergency vehicle approaching a vehicle from behind. The system derives a road configuration of a road along which the vehicle, based on ego-vehicle position obtained with support from localization sensors on-board the vehicle, is or was positioned. The system further determines unconventional driving criteria in view of the road configuration. The system determines based on surrounding vehicle detection data of a first and at least a second surrounding vehicle, obtained with support from surrounding detecting sensors on-board the vehicle, a respective first and at least a second surrounding vehicle trajectory along at least the road section. The system determines, when the first and the at least second surrounding vehicle trajectory fulfill at least a portion of the unconventional driving criteria, that an emergency vehicle is deemed to be approaching the vehicle from behind.

Abstract: A system for adjusting a road boundary of a two dimensional virtual representation of a road for path planning of an autonomous vehicle includes a retrieval unit to retrieve a measured position and measured heading angle of the vehicle with respect to a reference. The system also includes an uncertainty unit to receive the measured position, the measured heading angle and map data of the road, and to determine a position uncertainty value and a heading angle uncertainty value representing an amount of uncertainty in the vehicle position and heading angle, respectively, on the road based on the input. The system also includes an adjustment unit to adjust a width and a heading angle of a drivable portion of the two dimensional virtual representation of the road, wherein the adjustment of the width and heading angle is based on the position uncertainty value and the heading angle uncertainty value, respectively.

Abstract: A system for adjusting a road boundary of a two dimensional virtual representation of a road for path planning of an autonomous vehicle includes a retrieval unit to retrieve a measured position and measured heading angle of the vehicle with respect to a reference. The system also includes an uncertainty unit to receive the measured position, the measured heading angle and map data of the road, and to determine a position uncertainty value and a heading angle uncertainty value representing an amount of uncertainty in the vehicle position and heading angle, respectively, on the road based on the input. The system also includes an adjustment unit to adjust a width and a heading angle of a drivable portion of the two dimensional virtual representation of the road, wherein the adjustment of the width and heading angle is based on the position uncertainty value and the heading angle uncertainty value, respectively.