Abstract:
A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.
Abstract:
Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.
Abstract:
Systems and methods of determining collision potential for a vehicle involve identifying a specific intersection that the vehicle is approaching, and determining an intention of a driver of the vehicle to traverse a specific path through the specific intersection. A method includes identifying an obstructed portion of a relevant area for the specific path of the vehicle through the specific intersection. An object travelling within the relevant area will intersect with the specific path of the vehicle and one or more sensors of the vehicle are blocked from detections in the obstructed portion of the relevant area. An alert is provided or actions are implemented based on the obstructed portion of the relevant area.
Abstract:
A system for determining a representative vehicle software configuration for a subset vehicles that are part of a group of vehicles. The system includes one or more processors and a memory coupled to the one or more processors, where the memory stores data comprising a database and program code that, when executed by the one or more processors, causes the system to select a module configuration that is part of a set of combined module configurations as the representative vehicle software configuration based on at least one predefined criteria.
Abstract:
Systems and methods for an On-Demand Autonomy (ODA) service. The system includes a selection module of a leader vehicle (Lv) connected to an ODA server to determine whether to confirm a request for an on-demand autonomy (ODA) service which has been broadcast wherein the ODA service request includes control of a follower vehicle (Fv) to a requested location by creating a virtual link between the Lv and the Fv to configure a vehicle platoon to enable transport of the Fv by the Lv wherein the vehicle platoon is a linking of the Lv to the Fv via the virtual link to enable the Lv to assume the control of the Fv to the requested location.
Abstract:
A system is provided for updating vehicle software configurations for multiple vehicles. The system includes a network having multiple ECUs carried by the vehicles, with each ECU having an ECU software configuration including software components with one or more versions. The system further includes a network appliance having a processor communicating with the ECUs and a computer readable medium. The processor is programmed to identify coverage points for software components. The processor is further programmed to collect clusters for validating an update of the associated software components and determine optimal sets of clusters, which is less than or equal to a total of the clusters. The processor is further programmed to rank the clusters of the selected optimal set, based on a vehicle coverage percentage of each cluster, and transmit the optimal set for software configuration validation and then finally transmit the validated update to the associated vehicle ECUs.
Abstract:
Methods and systems are provided for indicating a driving situation including at least one vehicle. The system includes a first processor, a second processor and an external device. A first processor obtains driving information, encodes the driving information and communicates the encoded driving information to the second processor. The second processor receives and decodes the encoded driving information. The second processor further allocates a predefined indication pattern to the decoded driving information, wherein the predefined indication pattern includes a graphical representation of an upcoming driving event involving the vehicle. An external device visualizes a current driving situation including the vehicle together with the predefined indication pattern.
Abstract:
Systems and methods for vehicle-target localization, identification and indication. The system includes a vehicle module operating onboard a vehicle and configured to receive a request for a tether and send the tether responsive thereto, and a target module operating on a target external to the vehicle. The target module can generate target profile data (TPD) comprising location information for the target, such as, a first component that is a function of a detected first WiFi signal having a first signal strength. The request for the tether including the TPD is transmitted to the vehicle module; a tether of secured communications is established between the vehicle module and target module. Real-time TPD is exchanged during the tether and the vehicle module performs the V-T localization as a function of the RT TPD, and commands the vehicle based on V-T localization data.
Abstract:
Technical solutions are described herein for providing driver notification in a vehicle. An example system includes one or more sensors that measure one or more attributes of a remote object in a predetermined vicinity of the vehicle. The system further includes an output device that provides a notification to a driver. The system further includes a remote object monitoring system that generates a driver notification to be provided via the output device based on the attributes of the remote object. Generating the driver notification includes determining a recklessness score for the remote object based on the attributes of the remote object. Generating the driver notification further includes, in response to the recklessness score exceeding a predetermined threshold, generating the driver notification that comprises a directional information that provides a spatial awareness of a location of the remote object in relation to the vehicle.
Abstract:
A system and method of modifying a vehicle service database includes: accessing a database containing previously-received symptom text that has been associated with a vehicle identifier and one or more vehicular service solutions for the previously-received symptom text; determining a statistical likelihood that one or more additional vehicular service solutions apply to previously-received symptom text based on a correlation between the previously-received symptom text and additional vehicular service solutions; determining that the statistical likelihood is above a predetermined threshold; and associating the previously-received symptom text with the additional vehicular service solutions.