Abstract: A system for monitoring a vehicle environment includes a perception system in communication with a vehicle sensor, the perception system configured to receive perception data from the vehicle sensor. The system also includes a scenario detection module configured to detect a first object based on the perception data, and analyze a behavior of the first object to predict whether a reveal scenario is occurring or is to occur, where an obstructed object is revealed in the reveal scenario. The system further includes a control module configured to, based on detection of the obstructed object as a revealed object, perform at least one of controlling a vehicle to respond to the obstructed object, and presenting information regarding the obstructed object to a user.

Abstract: A grade angle estimation system for estimating a grade angle of a roadway that a vehicle is driving along includes one or more controllers. The one or more controllers include one or more processors that execute instructions to receive three-dimensional map data of the roadway and measurements indicating a grade angle of the roadway collected by an inertial measurement unit (IMU). The one or more controllers determine an IMU-based grade angle based on the measurements received by the IMU and compare an absolute value of the IMU-based grade angle with a threshold grade value. In response to determining the absolute value of the IMU-based grade angle is greater than the threshold grade value, the one or more controllers set the grade angle equal to the IMU-based grade angle.

Abstract: Presented are intelligent vehicle systems providing AV/ADAS driving features with enhanced on-vehicle sensor operation for mixed-gradient pathways, methods for making/using such systems, and vehicles equipped with such systems. A method of operating a host vehicle includes a vehicle controller receiving gradient data indicating the host vehicle is traversing a mixed-gradient pathway. After receiving the gradient data, first and second on-vehicle sensors detect a target vehicle forward of the host vehicle on the mixed-gradient pathway. After detecting the target, the vehicle controller determines whether or not both sensors dropped the target vehicle. Responsive to the target vehicle being dropped, the vehicle controller determines if the target vehicle is reacquired by only the first sensor and not the second sensor.

Abstract: A vehicle control system including a sensor for detecting an object location, a memory for storing an environment map indicative of a driving environment coordinated with a host vehicle location, a processor configured to estimate a line and object quality, to determine an uncertainty in response to historical motion of the objects, to detect a loss of sensor data in response to the data signal, to generate a frozen scene construction in response to the line and object quality and the uncertainty, to localize a host vehicle location with respect to the frozen scene construction, to regenerate an object data and a lane data in response to the frozen science and the localized host vehicle location, and to generate a vehicle motion path in response to the object data and lane data, and a vehicle controller for controlling the host vehicle in response to the vehicle motion path.

Abstract: Presented are intelligent vehicle systems providing AV/ADAS driving features with enhanced on-vehicle sensor operation for mixed-gradient pathways, methods for making/using such systems, and vehicles equipped with such systems. A method of operating a host vehicle includes a vehicle controller receiving gradient data indicating the host vehicle is traversing a mixed-gradient pathway. After receiving the gradient data, first and second on-vehicle sensors detect a target vehicle forward of the host vehicle on the mixed-gradient pathway. After detecting the target, the vehicle controller determines whether or not both sensors dropped the target vehicle. Responsive to the target vehicle being dropped, the vehicle controller determines if the target vehicle is reacquired by only the first sensor and not the second sensor.

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: 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.