Abstract:
Systems and methods are provided for interpreting traffic information. In one embodiment, a method includes: receiving, by a processor, visual data from a plurality of vehicles, wherein the visual data is associated with an intersection of a roadway having one or more lanes; receiving, by the processor, vehicle data from the plurality of vehicles, wherein the vehicle data is associated with the intersection of the roadway; determining, by the processor, a first state of a traffic light associated with the intersection based on the visual data; determining, by the processor, a second state of the traffic light associated with the intersection based on the vehicle data; correlating, by the processor, the first state and the second state based on a time synchronization; assigning, by the processor, the traffic light to a lane of the roadway based on the correlating; and communicating, by the processor, the traffic light to lane assignment for use in controlling a vehicle of the multiple vehicles.
Abstract:
Methods and apparatus are provided for determining steering performance. The method includes: generating a torque disturbance signal; applying the torque disturbance signal to a torque command of the steering system; measuring a value of torque on the steering system; recording the measured value and a value associated with the torque disturbance signal; computing at least one performance metric of the steering system based on the recorded measured value and the recorded value associated with the torque disturbance signal; and selectively improving a steering system based on the at least one performance metric.
Abstract:
A method for executing a V2V data exchange includes determining if a host vehicle is communicatively connected to a seeder vehicle, and transmitting a prompt between the two vehicles to initiate a resource discovery process. The seeder vehicle wirelessly transmits to the host vehicle a Bloom filter with multiple file IDs mapped to a bit array. Each file ID has a corresponding file version number encoded to the bit array. The method then determines if a local file ID of an existing file stored via the host vehicle is a member of the Bloom filter; if so, the host vehicle determines if a remote file version number encoded to a counterpart file ID is newer than a file version number of the local file ID. If the remote file version number is newer, the seeder vehicle transmits the data file associated with the counterpart file ID to the host vehicle.
Abstract:
Technical solutions are described for generating a pedestrian detection warning in a vehicle. An example method includes constructing, by a vehicle controller, a pedestrian zone based on pedestrian information that is received from a traffic controller. The method further includes computing, by the vehicle controller, a vehicle trajectory that predicts a path for the vehicle. The method further includes determining, by the vehicle controller, a minimal distance between the pedestrian zone and the vehicle trajectory. The method further includes predicting, by the vehicle controller, a time to collision by computing a time for the vehicle to reach a location corresponding to the minimal distance along the vehicle trajectory. The method further includes in response to the time to collision being below a threshold, generating, by the vehicle controller, a warning for an operator of the vehicle.
Abstract:
A system and method for using data that is external to a vehicle in vehicular applications. The system and method include determining data that is external to the vehicle is available for use, comparing the external data to data that is available from a vehicle system, and determining whether the external data has a higher utility function compared to data that is available from a vehicle system. The system and method further include using the external data to enhance a vehicular application if the external data has a higher utility function.
Abstract:
A system and method for locating a trailer coupler on a trailer to assist with the coupling of the trailer coupler to a vehicle hitch on a vehicle. The system includes a human-machine interface, a camera, a global positioning system, a remote computing system, a vehicle-to-infrastructure communication network, controllers, a memory, sensors, and a trailer coupler labeling application. The trailer coupler labeling application includes: sensing at least one of a hitched state and an unhitched state of the trailer coupler, capturing an optical data with the camera when the vehicle hitch is in the hitched and unhitched state, determining a distance of the trailer coupler relative to the camera when the vehicle hitch is in the hitched state, identifying the location of the trailer coupler on an image defined by the captured data and creating a label on the image of the trailer coupler.
Abstract:
A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.
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.