Abstract:
Methods and systems for controlling a driving feature for an automated driving system are provided. In one embodiment, a method includes: receiving a first sensor signal from a first sensor; receiving a second sensor signal from a second sensor; selectively determining a driver intent based on at least one of the first sensor signal and the second sensor signal; and controlling the driving feature based on the driver intent.
Abstract:
A method and system may prevent misuse of an autonomous driving system by providing at least one prompt at least one prompt for a driver of a vehicle. A sensor may whether the driver responds to the prompt. A processor may determine whether the driver exercises sufficient supervisory control of the vehicle, based on whether the driver responds to the prompt. The processor may disengage the autonomous driving system if the driver fails to exercise sufficient supervisory control of the vehicle. The processor may further reduce the vehicle's speed if the driver continues to misuse the autonomous driving system.
Abstract:
Methods and systems are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, unresponsiveness of at least one of a driver and a vehicle system; in response to the determining, communicating, by a processor, a request for remote control to a remote server; in response to the communicating, receiving, by a processor, information from the remote server; and controlling the vehicle by one or more semi-autonomous or autonomous vehicle controls systems based on the received information.
Abstract:
A method for localizing a vehicle in a digital map. GPS raw measurement data is retrieved from satellites. A digital map of a region traveled by the vehicle based on the raw measurement data is retrieved from a database. The digital map includes a geographic mapping of a traveled road and registered roadside objects. The registered roadside objects are positionally identified in the digital map by earth-fixed coordinates. Roadside objects are sensed in the region traveled by the vehicle using distance data and bearing angle data. The sensed roadside objects are matched on the digital map. A vehicle position is determined on the traveled road by fusing raw measurement data and sensor measurements of the identified roadside objects. The position of the vehicle is represented as a function of linearizing raw measurement data and the sensor measurement data as derived by a Jacobian matrix and normalized measurements, respectively.
Abstract:
A method of detecting and tracking objects using multiple radar sensors. Objects relative to a host vehicle are detected from radar data generated by a sensing device. The radar data includes Doppler measurement data. Clusters are formed, by a processor, as a function of the radar data. Each cluster represents a respective object. Each respective object is classified, by the processor, as stationary or non-stationary based on the Doppler measurement data of each object and a vehicle speed of the host vehicle. Target tracking is applied, by the processor, on an object using Doppler measurement data over time in response to the object classified as a non-stationary object; otherwise, updating an occupancy grid in response to classifying the object as a stationary object.
Abstract:
Methods and systems for monitoring a driver 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 at least facilitate detecting whether a driver of a vehicle is looking or has recently looked in a direction with respect to the vehicle. The processor is coupled to the sensing unit, and is configured to at least facilitate providing an action based at least in part on whether the driver is looking or has recently looked in the direction.
Abstract:
Methods and control systems are provided for automatically controlling operation of a vehicle. In one embodiment, the control system includes an exterior sensor for sensing the environment outside the vehicle. A processor is in communication with the exterior sensor and configured to calculate a driving plan of the vehicle based at least partially on the sensed environment outside the vehicle. The processor is also configured to calculate a confidence level of the driving plan of the vehicle based at least partially on the sensed environment around the vehicle. The control system also includes a display in communication with the processor and configured to receive data from the processor and display a representation of at least one of the driving plan and the confidence level.