Abstract: Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: i) receiving a section of a road map corresponding to surroundings of the SDC and at least one object, ii) generating a plurality of predicted trajectories including a potential future location points of the at least one object, the plurality of predicted trajectories being generated without consideration of the plurality of road lanes on the section of the road map, iii) mapping the potential future location points on the section of the road map, iv) computing a score for each of the potential future location points, the score representing an association of a given potential future location point with the plurality of road lanes at a future instance of time, v) computing an aggregated score from the scores corresponding to potential future location points, and vi) based on the aggregated score, determining a predicted location of the at least one object at the future instance of time.

Abstract: Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: (i) acquiring a predicted object trajectory for an object, (ii) acquiring a set of anchor points along the lane for the SDC, (iii) for each one of the set of anchor points, determining a series of future moments in time when the SDC is potentially located at the respective one of the set of anchor points, thereby generating a matrix structure including future position-time pairs, (iv) for each future position-time pair in the matrix structure, using the predicted object trajectory for determining a distance between a closest object to the SDC as if the SDC is located at the respective future position-time pair, and (v) storing the distance between the closest object to the SDC in association with the respective future position-time pair in the matrix structure.

Abstract: Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: i) receiving a section of a road map corresponding to surroundings of the SDC and at least one object, ii) generating a plurality of predicted trajectories including a potential future location points of the at least one object, iii) mapping the potential future location points on the section of the road map, iv) computing a score for each of the potential future location points, the score representing an association of a given potential future location point with the plurality of road lanes at a future instance of time, v) computing an aggregated score from the scores corresponding to potential future location points, and vi) based on the aggregated score, determining a predicted location of the at least one object at the future instance of time.

Abstract: Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: (i) acquiring a predicted object trajectory for an object, (ii) acquiring a set of anchor points along the lane for the SDC, (iii) for each one of the set of anchor points, determining a series of future moments in time when the SDC is potentially located at the respective one of the set of anchor points, thereby generating a matrix structure including future position-time pairs, (iv) for each future position-time pair in the matrix structure, using the predicted object trajectory for determining a distance between a closest object to the SDC as if the SDC is located at the respective future position-time pair, and (v) storing the distance between the closest object to the SDC in association with the respective future position-time pair in the matrix structure.