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 method of determining the position of a vehicle includes generating a vehicle-based point cloud of objects in proximity to the vehicle, referenced to a vehicle-based coordinate system. The method also includes receiving an infrastructure-based point cloud, referenced to a global coordinate system, of objects detected by a camera mounted at a fixed location external to the vehicle, and registering the vehicle-based point cloud with the infrastructure-based point cloud to determine the vehicle position in the global coordinate system.
Abstract:
An automobile vehicle visual wireless-based positioning system, incudes an automobile vehicle having a radio receiver. A map contains candidate locations of access-points (APs) and access-point corresponding media-access-control (MAC) IDs. A wireless range sensor determines different ranges of various detected APs visible to the automobile vehicle. An image collection feature identifies image data visible to the automobile vehicle. A real-time feature matching element matching features identified by image collection feature with data from the map. A filter receives an output from the real-time feature matching element to generate an automobile vehicle pose.
Abstract:
A system for augmented-reality (AR)-assisted vehicle parking with operator-in-loop selections and alignments of feature point vicinities (FPVs) includes a vehicle, human-machine interfaces (HMIs), sensors detecting FPVs of a parking location and controllers. The controllers have a processor, memory, and input/output (I/O) ports in communication with the HMIs and sensors. The memory stores an AR-assisted parking application (ARAPA) executed by the processor. The AR-assisted parking application (ARAPA) has a training session (TS) and a live session (LS), and is activated upon completing parking at a parking spot at the parking location. The TS portion trains the ARAPA to recognize FPVs of the parking spot. The LS portion prompts an operator to select the parking spot, guides the operator into the parking spot by displaying trained FPVs onto live sensor data displayed on the HMI, and instructs the operator to align the trained FPVs with corresponding real-world FPVs by maneuvering the vehicle.
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.
Abstract:
An infrastructure-supported perception system for connected vehicle applications includes one or more infrastructure perception sensors that capture perception data having a reduced resolution and a reduced frame rate. The reduced resolution includes a reduced number of pixels for a given frame when compared to a standard resolution and the reduced frame rate captures data at a lower rate when compared to a standard frame rate. The infrastructure-supported perception system includes one or more controllers that are part of a connected vehicle. The controllers of the connected vehicle are in wireless communication with the one or more infrastructure perception sensors and one or more servers, and the one or more servers are in wireless communication with the one or more infrastructure perception sensors. The controllers receive dynamic information regarding one or more detected objects in an environment surrounding the connected vehicle from the one or more servers.
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 hybrid positioning system for a vehicle includes one or more controllers in wireless communication with a plurality of surrounding vehicles located in an environment surrounding the vehicle and a cellular software defined network including an edge positioning function. The one or more controllers execute instructions to receive, from the plurality of surrounding vehicles, relative position measurements that are each indicative of a position of one of the plurality of surrounding vehicles relative to the vehicle, wherein the relative position measurements are received by the one or more controllers in real-time. The one or more controllers receive a precise global position of the vehicle and the plurality of surrounding vehicles from the edge positioning function of the cellular software defined network, and fuse together the relative position measurements and the precise global position of the vehicle to determine a precise position of the vehicle.