Abstract: A system and method for assembling and using a map for supporting advanced driver assistance systems (ADAS) on a host vehicle are disclosed. The map indicates which roadway segments can support automated driving. The map may also indicate which vehicle sensor signal interpretation and vehicle control algorithms shall be used on those segments. The map may be assembled on a host vehicle, transmitted to a server and collated with maps from other vehicles equipped with ADAS. The host vehicle may download the other maps from the server for use in locations where the driver assistance sensor input from the host vehicle may not be dependable.

Abstract: A method for transmitting event data from an event detection and reporting system in a vehicle to a backend server includes storing full resolution sensor data in a vehicle buffer memory and subsampling the full resolution sensor data to produce reduced resolution of the sensor data. A vehicle event is detected based on an analysis of the reduced resolution sensor data, and the vehicle event is classified based on the reduced resolution sensor data. A determination is made as to whether the vehicle event is classified as a particular type of event with a minimum degree of confidence. The method then includes transmitting an indication that the vehicle event has not been classified with the minimum degree of confidence when the vehicle event has not been classified with the minimum degree of confidence, and transmitting reduced resolution sensor data for the detected vehicle event when the vehicle event is classified with at least the minimum degree of confidence.

Abstract: A calibration apparatus and method are provided for a surround-view camera system having a plurality of cameras mounted to an object (e.g., a vehicle). A plurality of markers are arbitrarily placed around the object and configured to measure a plurality of distances between one another. The markers preferably include a rangefinder to measure distances. From at least one image from one or more cameras, a controller is configured to visually identify at least two markers which define a coordinate system. Based on the measured plurality of distances between markers and the visually identified markers, the controller generates calibration information as an output, preferably saved in the form of a look-up table, which will be retrieved and used when a display device generates a bird's-eye view for a viewer. Additionally, a marker that is part of the calibration apparatus is provided.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: A controller is adapted to receive respective images from a sensors of a first vehicle. The images provide a gapless view along, and within a predetermined perpendicular distance away from, a side of the first vehicle. Movement of a second vehicle along, and within the predetermined perpendicular distance away from, the side of the first vehicle, is detected based on at least one of the images. A position of a front of the second vehicle is predicted based on the movement of the second vehicle. An image sequence is recorded at the position.

Abstract: A method for providing user-specific driver assistance includes storing, in a vehicle, warning threshold preset values used to provide driver assistance warnings, and identifying a driver of the vehicle based on driver identification information. Sensors provide driver behavior data for the identified driver, which is then compared to desired driver behavior data. A modified warning value specific to the identified driver is then determined based at least in part on a result of the comparison. One or more of the plurality of warning threshold preset values may be updated based on the modified warning value, and a driver assistance warning may be provided to the identified driver in accordance with the updated one or more of the plurality of warning threshold preset values.

Abstract: A calibration apparatus and method are provided for a surround-view camera system having a plurality of cameras mounted to an object (e.g., a vehicle). A plurality of markers are arbitrarily placed around the object and configured to measure a plurality of distances between one another. The markers preferably include a rangefinder to measure distances. From at least one image from one or more cameras, a controller is configured to visually identify at least two markers which define a coordinate system. Based on the measured plurality of distances between markers and the visually identified markers, the controller generates calibration information as an output, preferably saved in the form of a look-up table, which will be retrieved and used when a display device generates a bird's-eye view for a viewer. Additionally, a marker that is part of the calibration apparatus is provided.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: A driving oriented digital video recorder (DVR) system may comprise a camera; a memory; and a control circuit. The occurrence of a predefined driving event type may be determined based on received data. An event object that includes details of the determined event may be generated, including the type of the determined event and a time association with a segment of captured driving video. Metadata tags may be generated, which contain the type of the determined event and the location of the event object in the memory of the DVR. The DVR may retrieve segments of the driving video by identifying the metadata tag as having the same event type as a query parameter and, in turn, identify the event object using the location of the event object included in the metadata tag. The driving video segment may then be located via the association with the event object.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: A driving oriented digital video recorder (DVR) system may comprise a camera; a memory; and a control circuit. The occurrence of a predefined driving event type may be determined based on received data. An event object that includes details of the determined event may be generated, including the type of the determined event and a time association with a segment of captured driving video. Metadata tags may be generated, which contain the type of the determined event and the location of the event object in the memory of the DVR. The DVR may retrieve segments of the driving video by identifying the metadata tag as having the same event type as a query parameter and, in turn, identify the event object using the location of the event object included in the metadata tag. The driving video segment may then be located via the association with the event object.

Abstract: A controller is adapted to receive respective images from a sensors of a first vehicle. The images provide a gapless view along, and within a predetermined perpendicular distance away from, a side of the first vehicle. Movement of a second vehicle along, and within the predetermined perpendicular distance away from, the side of the first vehicle, is detected based on at least one of the images. A position of a front of the second vehicle is predicted based on the movement of the second vehicle. An image sequence is recorded at the position.

Abstract: A fleet management server is configured to receive, via a wireless transceiver, driver and vehicle information from a plurality of vehicles relating to a plurality of drivers. The server computes, based on the received driver and vehicle information, occurrence rates for predetermined vehicle events and predetermined vehicle error codes that are associated with possible vehicle tampering, and then compares, based on the received driver and vehicle information, an occurrence rate for the predetermined vehicle events and predetermined vehicle error codes of a first driver to occurrence rates for the predetermined vehicle events and predetermined vehicle error codes of one or more of the other plurality of drivers.

Abstract: A method for providing event data from cross-referenced data memories of an on-vehicle event detection and reporting system includes cross-referencing event data stored in an event buffer with continuous video data stored in a continuous DVR memory. A request for additional data corresponding to a detected driving or vehicle event may be received by the on-vehicle system, where the request includes an event identifier corresponding to a detected driving or vehicle event. The requested additional data is identified in the DVR memory using the event identifier and based on said cross-referencing between the event data with the continuous video data stored in the DVR memory. The identified additional data is then transmitted from the DVR memory for display on a user computer.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Abstract: A method for providing user-specific driver assistance includes storing, in a vehicle, warning threshold preset values used to provide driver assistance warnings, and identifying a driver of the vehicle based on driver identification information. Sensors provide driver behavior data for the identified driver, which is then compared to desired driver behavior data. A modified warning value specific to the identified driver is then determined based at least in part on a result of the comparison. One or more of the plurality of warning threshold preset values may be updated based on the modified warning value, and a driver assistance warning may be provided to the identified driver in accordance with the updated one or more of the plurality of warning threshold preset values.

Abstract: A controller for synthesizing images for a vehicle display comprises a first image generator for generating a bird's eye image from a first set of cameras, the bird's eye image depicting the surroundings of a host vehicle and having a generally central portion. The controller includes a second image generator for generating a second image separate from the bird's eye image. The controller includes a synthesizer for synthesizing the bird's eye image and the second image for displaying the second image within the generally central portion of the bird's eye image.

Abstract: An in-vehicle data collection and processing device receives real-time data from a plurality of sensors relating to at least one of a current vehicle condition and a current driver condition. The device then predicts, by processing at least a portion of the real-time data through a pre-trained pattern recognition algorithm, a likelihood of occurrence of at least one of a plurality of incidents involving the vehicle. In response, the device outputs one or more types of warnings and/or conducts a vehicle evasive maneuver if the likelihood is predicted to be above one or more thresholds.

Abstract: A calibration apparatus and method are provided for a surround-view camera system having a plurality of cameras mounted to an object (e.g., a vehicle). A plurality of markers are arbitrarily placed around the object and configured to measure a plurality of distances between one another. The markers preferably include a rangefinder to measure distances. From at least one image from one or more cameras, a controller is configured to visually identify at least two markers which define a coordinate system. Based on the measured plurality of distances between markers and the visually identified markers, the controller generates calibration information as an output, preferably saved in the form of a look-up table, which will be retrieved and used when a display device generates a bird's-eye view for a viewer. Additionally, a marker that is part of the calibration apparatus is provided.