Abstract: Systems, methods, and computer program products to enhance the situational competency of a vehicle, when operating at least partially in an autonomous mode, and/or the safe operation of a vehicle, when operating at least partially in an autonomous mode. Such systems, methods, and computer program products are to facilitate operation of a vehicle, when operating at least partially in an autonomous mode, in a multi-lane roadway environment to coordinate a change of lane of the autonomous vehicle from a first lane in which the autonomous vehicle is currently operating and a target lane change area of a second lane. Such coordination is to dynamically take into consideration several operational safety factors within the driving environment, including the presence of one or more vehicles in a third lane adjacent to the target lane area of the second lane and the geometric roadway design.

Abstract: Systems, methods, and computer program products to enhance the situational competency of a vehicle, when operating at least partially in an autonomous mode, and/or the safe operation of a vehicle, when operating at least partially in an autonomous mode. Such systems, methods, and computer program products are to facilitate operation of a vehicle, when operating at least partially in an autonomous mode, in a multi-lane roadway environment to coordinate a change of lane of the autonomous vehicle from a first lane in which the autonomous vehicle is currently operating and a target lane change area of a second lane. Such coordination is to dynamically take into consideration several operational safety factors within the driving environment, including the presence of one or more vehicles in a third lane adjacent to the target lane area of the second lane and the geometric roadway design.

Abstract: A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

Abstract: The present disclosure relates to a method for determining inter-vehicle distance during adaptive cruise control. Moreover, the method is directed to the integration of multiple sensing modalities to accurately determine inter-vehicle distance at close ranges. This approach exploits standard, vehicle-based sensors and processing circuitry to improve the selection of sensing modalities during inter-vehicle distance determination.

Abstract: A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

Abstract: The present disclosure relates to a method for determining inter-vehicle distance during adaptive cruise control. Moreover, the method is directed to the integration of multiple sensing modalities to accurately determine inter-vehicle distance at close ranges. This approach exploits standard, vehicle-based sensors and processing circuitry to improve the selection of sensing modalities during inter-vehicle distance determination.

Abstract: A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

Abstract: A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.