Abstract: Methods and systems for providing driving assistance in a vehicle. In one embodiment, a method includes: receiving, by a processor, vehicle data from a sensor system of the vehicle; determining, by a processor, a path of the vehicle based on the steering data; expanding, by the processor, the path of the vehicle to a path area based on probabilistic uncertainty bound prediction; determining, by the processor, a target object based on the path area and object data that identifies objects within the environment of the vehicle; and generating, by the processor, control signals to vehicle actuators to control the vehicle based on the target object.

Abstract: A method and system for tracking attached objects for controlling a vehicle. The method includes receiving, by a processor, sensor data of an environment associated with the vehicle that includes an object. The method includes determining, based on the sensor data, whether the object corresponds to an attached object type, and determining whether the sensor data includes a second vehicle. The method includes determining an attached object region associated with the second vehicle based on a distance between the second vehicle and the vehicle, and determining whether a position of the object is within the attached object region. The method includes determining whether a difference between a velocity of the object and a vehicle velocity of the vehicle is within a velocity threshold based on the distance. The method includes determining that the object is an attached object and controlling the vehicle based on the determining.

Abstract: A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.

Abstract: An autonomous vehicle and a system and method of operating the autonomous vehicle. The system includes a sensor and a processor. The processor determines an effective observation area of the sensor, the effective observation area being affected by an extrinsic condition. The processor determines an available time for performing a lane change based on the effective observation area and performs the lane change based on the available time.

Abstract: A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.

Abstract: A full speed range adaptive cruise control system for a host vehicle includes a plurality of sensors that each generate a signal, a memory that includes executable instructions and a processor that executes the executable instructions. The executable instructions enable the processor to detect a target vehicle as being stopped along a route based upon the signals from the plurality of sensors, cause the host vehicle to stop at a distance from the target vehicle, detect the target vehicle moving along the route after the host vehicle has stopped based upon the signals from the plurality of sensors, determine whether a first predetermined period of time has elapsed since the host vehicle has stopped, determine whether a first predetermined condition is satisfied if the first predetermined period of time has elapsed, and cause the host vehicle to move if the system determines that the first predetermined condition is satisfied.

Abstract: In an exemplary embodiment, a system is provided that includes one or more first sensors, one or more second sensors, and a processor. The one or more first sensors are disposed onboard a host vehicle, and are configured to at least facilitate obtaining first sensor data with respect to the host vehicle. The one or more second sensors are disposed onboard the host vehicle and configured to at least facilitate obtaining second sensor data with respect to a target vehicle that is in proximity to the host vehicle. The processor is coupled to the one or more first sensors and the one or more second sensors, and is configured to at least facilitate: creating an adaptive prediction horizon that includes a probabilistic time-to-event horizon with respect to possible vehicle events between the host vehicle and the target vehicle; and controlling the host vehicle based on the probabilistic time-to-event horizon.

Abstract: An autonomous vehicle and a system and method of operating the autonomous vehicle. The system includes a sensor and a processor. The processor determines an effective observation area of the sensor, the effective observation area being affected by an extrinsic condition. The processor determines an available time for performing a lane change based on the effective observation area and performs the lane change based on the available time.