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:
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:
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:
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:
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 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 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:
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., powertrain, steering and/or brake system) to take preventive action.
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.