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.

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: One general aspect includes a system to commence host vehicle movement upon being stopped behind a target vehicle, the system includes a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to: detect the target vehicle as being stopped along a route; cause the host vehicle to stop at a first distance from the target vehicle; detect a transition of one or more brake lights of the target vehicle from an ON state to an OFF state; and after the one or more brake lights are detected to transition from the ON state to the OFF state, cause the host vehicle to move at a slow speed in the direction of the target vehicle.

Abstract: Systems and methods are provided for tracking objects in an autonomous vehicle having multiple sensors. A method includes: determining, by a processor, a type of an environmental condition associated with the autonomous vehicle; adjusting, by the processor, a weight associated with a first type of sensor of the multiple sensors in response to the type of the environmental condition; fusing, by the processor, sensor data from the multiple sensors based on the adjusted weight; tracking, by the processor, an object in the environment of the autonomous vehicle based on the fused sensor data; and controlling, by the processor, the autonomous vehicle based on the tracked object.

Abstract: Presented are automated driving systems for intelligent vehicle control, methods for making/using such systems, and motor vehicles equipped with such automated driving systems. A method for executing an automated driving operation includes: determining path plan data for a subject motor vehicle, including current vehicle location and predicted route data; receiving, from a network of sensing devices, sensor data indicative of current object position and object dynamics of a target object; applying sensor fusion techniques to the received sensor data to determine a threat confidence value that is predictive of target object intrusion with respect to the vehicle's location and predicted route; determining if this threat confidence value is greater than a calibrated threshold value; and, responsive to the threat confidence value being greater than the calibrated threshold value, transmitting one or more command signals to one or more vehicle systems (e.g.

Abstract: The present application generally relates to a method and apparatus for object detection within a camera blind spot in a motor vehicle. In particular, the system is operative to determine a potential blind spot in response to a location, adjust a dynamic range of a camera, and detect an object in response to the adjusted dynamic range.