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 blind spot within an image, adjust a dynamic range of a camera, and detect an object in response to the adjusted dynamic range.

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.

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: A system according to the principles of the present disclosure includes a current object position module, an expected position module, and an object position comparison module. The current object position module can determine a first position of an object with respect to a position of a vehicle based upon sensor data generated by a first object detection sensor within the vehicle and determines a second position of the object with respect to the position of the vehicle based upon sensor data generated by a second object detection sensor. The expected object position module can determine an expected position of the object with respect to the position of the vehicle based upon the first position of the object. The object position comparison module can determine whether at least one object detection sensor is improperly installed within the vehicle based upon comparing the second position of the object with the expected position.

Abstract: A system for a vehicle operating on a road includes a vehicle placement module that references, based on a geographic position of the vehicle, a road mapping database to identify a selected lane of the road where the vehicle is located. A lane assignment module (i) receives information indicating identification of an object in the road and (ii) determines a relative lane of the object with respect to the selected lane. A curvature plotting module determines a curvature line of the selected lane. An object placement module (i) determines a first distance value representing a shortest distance between the object and the curvature line and (ii) determines whether the relative lane of the object is the selected lane based on the first distance value and a lane width value. An alert generation module selectively generates an alert signal in response to the object being in the selected lane.

Abstract: A system for a vehicle operating on a road includes a vehicle placement module that references, based on a geographic position of the vehicle, a road mapping database to identify a selected lane of the road where the vehicle is located. A lane assignment module (i) receives information indicating identification of an object in the road and (ii) determines a relative lane of the object with respect to the selected lane. A curvature plotting module determines a curvature line of the selected lane. An object placement module (i) determines a first distance value representing a shortest distance between the object and the curvature line and (ii) determines whether the relative lane of the object is the selected lane based on the first distance value and a lane width value. An alert generation module selectively generates an alert signal in response to the object being in the selected lane.

Abstract: A system according to the principles of the present disclosure includes a current object position module, an expected position module, and an object position comparison module. The current object position module can determine a first position of an object with respect to a position of a vehicle based upon sensor data generated by a first object detection sensor within the vehicle and determines a second position of the object with respect to the position of the vehicle based upon sensor data generated by a second object detection sensor. The expected object position module can determine an expected position of the object with respect to the position of the vehicle based upon the first position of the object. The object position comparison module can determine whether at least one object detection sensor is improperly installed within the vehicle based upon comparing the second position of the object with the expected position.

Abstract: A method for assessing operation of a navigation system onboard a vehicle is provided. The method determines a sensor-based lateral offset change using vehicle onboard sensor data; determines a second lateral offset change using navigation system data; computes a difference between the sensor-based lateral offset change and the second lateral offset change; performs secondary calculations using the difference to produce a result; and when the result is greater than a threshold error value, provides an error notification.

Abstract: A front impact mitigation system for a host vehicle and a method for operating a front impact mitigation system. The front impact mitigation system can take into account the position of a rear object that trails the host vehicle to develop a modified front impact mitigation control signal that at least partially mitigates the likelihood of certain rear impact collisions between the rear object and the host vehicle when the host vehicle is responding to the presence of an impending leading obstacle. A modified front impact mitigation control signal may be developed to account for the speed of the host vehicle and the distance that the rear object trails the host vehicle.

Abstract: A method for assessing operation of a navigation system onboard a vehicle is provided. The method determines a sensor-based lateral offset change using vehicle onboard sensor data; determines a second lateral offset change using navigation system data; computes a difference between the sensor-based lateral offset change and the second lateral offset change; performs secondary calculations using the difference to produce a result; and when the result is greater than a threshold error value, provides an error notification.

Abstract: A method is disclosed for improved target grouping of sensor measurements in an object detection system. The method uses road curvature information to improve grouping accuracy by better predicting a new location of a known target object and matching it to sensor measurements. Additional target attributes are also used for improved grouping accuracy, where the attributes includes range rate, target cross-section and others. Distance compression is also employed for improved grouping accuracy, where range is compressed in a log scale calculation in order to diminish errors in measurement of distant objects. Grid-based techniques include the use of hash tables and a flood fill algorithm for improved computational performance of target object identification, where the number of computations can be reduced by an order of magnitude.

Abstract: Methods and systems for controlling an adaptive cruise control feature of a vehicle are provided. In accordance with one embodiment, a system includes a sensing unit and a processor. The sensing unit is configured to detect passengers, other than a driver, in a vehicle. The processor is coupled to the sensing unit. The processor is configured to at least facilitate controlling an adaptive cruise control feature of the vehicle using a first profile if no passengers are detected in the vehicle, and a second profile, different from the first profile, if one or more passengers are detected in the vehicle.

Abstract: A method and system for controlling a position of a vehicle relative to other vehicles on a road is provided. The method includes controlling a position of a host vehicle travelling in a lane of a road using an automated driving system and monitoring positions of one or more side vehicles located on either side of the host vehicle and traveling in adjacent lanes. The method further includes detecting a condition in which the host vehicle is or will be positioned in a blind spot of a side vehicle disposed on in an adjacent lane and adjusting the position of the host vehicle in response to the condition using the automated driving system such that the amount of time the host vehicle is or will be positioned in the blind spot of the side vehicle is reduced.

Abstract: Methods, systems, and vehicles are provided for localizing a vehicle. A sensor is configured to detect an object disposed in a generally upward direction from the vehicle while the vehicle is travelling. A processor is coupled to the sensor. The processor is configured to correlate the object with information from a map database, thereby generating a correlation, and determine a geographic location of the vehicle based on the correlation.

Abstract: A method is disclosed for improved target grouping of sensor measurements in an object detection system. The method uses road curvature information to improve grouping accuracy by better predicting a new location of a known target object and matching it to sensor measurements. Additional target attributes are also used for improved grouping accuracy, where the attributes includes range rate, target cross-section and others. Distance compression is also employed for improved grouping accuracy, where range is compressed in a log scale calculation in order to diminish errors in measurement of distant objects. Grid-based techniques include the use of hash tables and a flood fill algorithm for improved computational performance of target object identification, where the number of computations can be reduced by an order of magnitude.

Abstract: A vehicle system and method that can determine object sensor misalignment while a host vehicle is being driven, and can do so without requiring multiple sensors with overlapping fields-of-view. In an exemplary embodiment where the host vehicle is traveling in generally a straight line, the present method uses an object sensor to track the path of a stationary object as it moves through the sensor's field-of-view and compares the sensed object path to an expected object pat*h. If the sensed and expected paths of the stationary object deviate by more than some amount, then the method determines that the object sensor is skewed or otherwise misaligned.

Abstract: Methods and systems are provided for making lane determinations as to a roadway on which the vehicle is travelling. A determination is made as to a lane of a roadway in which a vehicle is travelling. An identification is made as to an adjacent lane that is adjacent to the lane in which the vehicle is travelling. An assessment is made as to a drivability of the adjacent lane.

Abstract: A vehicle system and method that can determine object sensor misalignment while a host vehicle is being driven, and can do so without requiring multiple sensors with overlapping fields-of-view. In an exemplary embodiment where the host vehicle is traveling in generally a straight line, the present method uses an object sensor to track the path of a stationary object as it moves through the sensor's field-of-view and compares the sensed object path to an expected object path. If the sensed and expected paths of the stationary object deviate by more than some amount, then the method determines that the object sensor is skewed or otherwise misaligned.

Abstract: Methods, systems, and vehicles are provided for localizing a vehicle. A sensor is configured to detect an object disposed in a generally upward direction from the vehicle while the vehicle is travelling. A processor is coupled to the sensor. The processor is configured to correlate the object with information from a map database, thereby generating a correlation, and determine a geographic location of the vehicle based on the correlation.