Abstract:
A system and method for assisting vehicle parking is disclosed. The method includes transmitting, by an electronic controller of a vehicle, a parking space request. The parking space request is transmitted to a reservation system. The reservation system determines whether a parking space is available to fulfill the parking space request. The determining is based on availability information that is received from a parking infrastructure. The method also includes receiving an indication. The indication indicates whether a parking spot has been reserved to fulfill the parking space request.
Abstract:
A system and method of wirelessly communicating data originating at a central facility between a plurality of vehicles using vehicle-to-vehicle short-range wireless communications includes wirelessly receiving, at a seed vehicle, one or more data files that have been encoded into data chunks from a central facility; storing the data chunks included in the received data file(s) at the vehicle; receiving interest messages for the data file(s) at the seed vehicle from each of a plurality of other vehicles via a short-range wireless broadcast, wherein the interest messages include one or more data file names and, for each data file name, the identity of the data chunks requested; identifying data files and data chunks existing in more than one received interest message; and transmitting the data chunks to the plurality of vehicles via the short-range wireless broadcast.
Abstract:
A power steering assembly includes a steering unit and a motor. A controller includes a processor and tangible, non-transitory memory on which is recorded instructions for executing a method of self-diagnosis for the assembly. If a plurality of enabling conditions is met, the steering unit is caused to rotate through a plurality of angles from an original position, via a command to the motor. The steering unit is caused to rotate first in a forward direction up to a predefined maximum angle, second in a reverse direction up to a negative of the predefined maximum angle and third in the forward direction back to the original position. The controller is configured to obtain motor torque data characterizing torque of the motor at the plurality of angles. The assembly is controlled based at least partially on the motor torque data and predetermined baseline data.
Abstract:
A method of controlling media content between a portable device and a head control unit. A first link is initiated for transmitting control signals between a control client and a control server. A second link is initiated for transmitting media content between a data server and a data client. The first link has a lower traffic volume capacity than the second link and a shorter latency for the control signals than for the media content signal over the second link. The control client generates control signals identifying a user's request and transmits the control signals to the control server using the first link. The control server provides instructions to the data server for executing the user request. The retrieved media data is transmitted from the data server to the data client using the second link. The media data is output to the user over the media output device.
Abstract:
A vehicle system is provided for correcting in real-time a camera-based estimated position of a road object. The system includes a camera for generating an image input signal including image sensor data associated with the road object. The system further includes one or more input devices for generating a vehicle input signal including vehicle sensor data associated with a position, a speed, and a heading of the vehicle. The system further includes a computer, which includes one or more processors and a non-transitory computer readable medium (CRM) storing instructions. The processor is programmed to match the image sensor data and the vehicle sensor data to one another based on a common time of collection. The processor is further programmed to determine an error model and a deviation of a current camera-based position from a predicted position. The processor is further programmed to update the error model based on the deviation.
Abstract:
A method for crowd-sourcing lane line map data for a vehicle includes receiving a plurality of observations. The method also includes classifying the plurality of observations into a plurality of observation categories. Each of the plurality of observation categories includes at least one of the plurality of observations. The method also includes determining a plurality of aligned point clouds based at least in part on the plurality of observations. One of the plurality of aligned point clouds corresponds to each of the plurality of observation categories. The method also includes determining a plurality of lane line maps based at least in part on the plurality of aligned point clouds. One of the plurality of lane line maps corresponds to each of the plurality of aligned point clouds. The method also includes updating a map database based at least in part on the plurality of lane line maps.
Abstract:
A method for generating garage parking notifications includes receiving current parked-vehicle data indicating that a vehicle has been parked inside a garage. The current parked-vehicle data includes the current location of the vehicle parked inside the garage. The method further includes determining whether the current location of the vehicle inside the garage is within a warning zone. The warning zone is an area inside the garage where the vehicle has not been frequently parked. The warning zone area is determined using historical parked-vehicle data. The method further includes generating a notification to warn an operator of the vehicle that the vehicle should be moved in response to determining that the current location of the vehicle inside the garage is within the warning zone.
Abstract:
A sequence of images and a vehicle location associated with each of the images is received at a traffic light ROI management system. At least one traffic light is detected in each image. A ECS traffic light ROI is defined for each image. The ECS traffic light ROI encloses the detected traffic lights. A visual feature template is generated for each image. The visual feature template is based on the ECS traffic light ROI for the image. Each visual feature template is mapped to the vehicle location associated with the image to a HD map. The HD map is transmitted to an autonomous vehicle to enable the autonomous vehicle to identify a real-time traffic light ROI in a real-time image based on a match between a first visual feature template and real-time visual features of the real-time image at the vehicle location associated with the first visual feature template.
Abstract:
A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.
Abstract:
A driver command interpreter system for a vehicle includes one or more controllers that execute instructions to receive a plurality of dynamic variables, vehicle configuration information, and driving environment conditions, and determine a target vehicle state during transient driving conditions based on the plurality of dynamic variables from the one or more sensors, the vehicle configuration information, and the driving environment conditions. The one or more controllers build a transient vehicle dynamic model based on the target vehicle state during transient driving conditions, the plurality of dynamic variables, the vehicle configuration information, and the driving environment conditions, and solve for desired zeros corresponding to the target vehicle state during transient conditions.