Abstract: A computer-implemented method comprises: determining, by a computer system of a first vehicle, that a traffic standstill criterion is met, the traffic standstill criterion including that the first vehicle is stationary in traffic and that a second vehicle immediately in front of the first vehicle is also stationary; receiving, by the computer system, a camera output relating to a driver of the first vehicle, the camera output generated by a camera positioned in a passenger cabin of the first vehicle; assigning, by the computer system, a distraction level for the driver based on the camera output, the distraction level selected from among multiple distraction levels; determining, by the computer system, that a criterion for a drive-off event is met; and selecting, by the computer system and based on the distraction level assigned for the driver, a first alert level from among multiple alert levels regarding the drive-off event.

Abstract: Enclosed are embodiments of motion control operations in various traffic scenarios in consideration of the kinematic factor for trajectory planning. In some embodiments, a method includes: determining a danger rating for at least one object identified in an environment, wherein the danger rating represents a perceived risk associated with a respective object; evaluating a set of hierarchical factors with respect to a traffic scenario, wherein a metric is derived for trajectories of the traffic scenario that quantifies passenger ride comfort based on the danger rating and the set of hierarchical factors; determining a motion control operation in the traffic scenario to increase the passenger ride comfort based on the metric; and augmenting a route planner of an autonomous vehicle with motion control operations in different traffic scenarios to increase the passenger ride comfort.

Abstract: A computer-implemented method comprises: determining, by a computer system of a first vehicle, that a traffic standstill criterion is met, the traffic standstill criterion including that the first vehicle is stationary in traffic and that a second vehicle immediately in front of the first vehicle is also stationary; receiving, by the computer system, a camera output relating to a driver of the first vehicle, the camera output generated by a camera positioned in a passenger cabin of the first vehicle; assigning, by the computer system, a distraction level for the driver based on the camera output, the distraction level selected from among multiple distraction levels; determining, by the computer system, that a criterion for a drive-off event is met; and selecting, by the computer system and based on the distraction level assigned for the driver, a first alert level from among multiple alert levels regarding the drive-off event.

Abstract: An advanced driver assistance system (ADAS) of a vehicle and associated method is disclosed. A first set of sensed lane measurements from a first imaging device and a second set of sensed lane measurements from a second imaging device are obtained. Each of the first and second sets of sensed lane measurements includes a lane estimate for the lane lines on a roadway. Each lane estimate is associated with one lane line. For each lane line, the associated lane estimates from the first and second sets of sensed lane measurements are fused to obtain a fused lane estimate, from which a representative model lane estimate is determined. For each of the plurality of lane lines, the associated lane estimates from the first and second sets of sensed lane measurements and the representative model lane estimate are fused to obtain a corrected fused lane estimate, which is output.