Abstract: A method is for providing an object prediction representation. In an embodiment, the method includes simulating movement of a host vehicle and an object in a longitudinal-lateral coordinate system based on their initial positions at the starting time and a movement of the host vehicle and determined movement of the object. Points in time when at least one reference point of the host vehicle and an object reference point of a plurality of object reference points have the same longitudinal position are detected. Further, for each detected point in time, an associated lateral position of the object reference point at the detected point in time is detected.

Abstract: The present invention relates to a method for determining an evasive path for a host vehicle (10), the method i.a. comprising: establishing (S1) a predicted traffic environment (12) of the host vehicle in a time-lateral position domain, the predicted traffic environment comprising an object prediction representation (16) of a traffic object; determining (S2) a start node (24) for the host vehicle; defining (S3) an end node (26) for the host vehicle; placing (S4) several boundary nodes (28) relative to the object prediction representation; setting (S5) node connections (30, 32, 34a-b, 36a-b, 38, 40, 42) between the start node, the boundary nodes, and the end node; and traversing (S6) the nodes using a graph-search algorithm in order to find a path from the start node to the end time with a lowest cost.

Abstract: The present invention relates to a method for determining an evasive path for a host vehicle (10), the method i.a. comprising: establishing (S1) a predicted traffic environment (12) of the host vehicle in a time-lateral position domain, the predicted traffic environment comprising an object prediction representation (16) of a traffic object; determining (S2) a start node (24) for the host vehicle; defining (S3) an end node (26) for the host vehicle; placing (S4) several boundary nodes (28) relative to the object prediction representation; setting (S5) node connections (30, 32, 34a-b, 36a-b, 38, 40, 42) between the start node, the boundary nodes, and the end node; and traversing (S6) the nodes using a graph-search algorithm in order to find a path from the start node to the end time with a lowest cost.

Abstract: A method is for providing an object prediction representation. In an embodiment, the method includes simulating movement of a host vehicle and an object in a longitudinal-lateral coordinate system based on their initial positions at the starting time and a movement of the host vehicle and determined movement of the object. Points in time when at least one reference point of the host vehicle and an object reference point of a plurality of object reference points have the same longitudinal position are detected. Further, for each detected point in time, an associated lateral position of the object reference point at the detected point in time is detected.

Abstract: Embodiments herein relate to a motor vehicle safety arrangement and method for positioning an occupant properly on a vehicle seat and restraining the occupant thus positioned in preparation of the vehicle potentially being subject to a rear-end collision. A safety belt is associated with the vehicle seat and an electric reversible safety belt retractor is associated with the safety belt. A rearward-looking detection system detects and classifies the collision risk for an approaching object. At least one sensor monitors one or more vehicle parameters. A control unit determines a driving state as critical or non-critical from the monitored vehicle parameters. The control unit controls the electric reversible safety belt retractor to apply a predetermined pullback force on the safety belt in response to the collision risk for an approaching object being classified as high within a predetermined time of an indicated critical driving state.

Abstract: A method and an arrangement are provided for determining a trajectory for a host vehicle H in order to as smoothly as possible avoid or mitigate a collision. The arrangement may include a processor and at least one of a sensor system or a communication system. The method may include identifying positions of one or more external objects in relation to the host vehicle H within a predefined distance, generating a plurality of trajectories that are valid for enabling the host vehicle H to pass any desired number of external objects, removing any trajectories intersecting with any one of the external objects, estimating lateral position, lateral velocity, lateral acceleration and the lateral jerk that will act on the host vehicle H driving along any one of the trajectories, and selecting the trajectory for which the lateral jerk acting on the host vehicle H is minimized.

Abstract: Embodiments herein relate to a motor vehicle safety arrangement and method for positioning an occupant properly on a vehicle seat and restraining the occupant thus positioned in preparation of the vehicle potentially being subject to a rear-end collision. A safety belt is associated with the vehicle seat and an electric reversible safety belt retractor is associated with the safety belt. A rearward-looking detection system detects and classifies the collision risk for an approaching object. At least one sensor monitors one or more vehicle parameters. A control unit determines a driving state as critical or non-critical from the monitored vehicle parameters. The control unit controls the electric reversible safety belt retractor to apply a predetermined pullback force on the safety belt in response to the collision risk for an approaching object being classified as high within a predetermined time of an indicated critical driving state.

Abstract: A method and an arrangement are provided for determining a trajectory for a host vehicle H in order to as smoothly as possible avoid or mitigate a collision. The arrangement may include a processor and at least one of a sensor system or a communication system. The method may include identifying positions of one or more external objects in relation to the host vehicle H within a predefined distance, generating a plurality of trajectories that are valid for enabling the host vehicle H to pass any desired number of external objects, removing any trajectories intersecting with any one of the external objects, estimating lateral position, lateral velocity, lateral acceleration and the lateral jerk that will act on the host vehicle H driving along any one of the trajectories, and selecting the trajectory for which the lateral jerk acting on the host vehicle H is minimized.