An video analysis computing system driving analysis may include a camera associated with a first vehicle and having a viewing angle capable of capturing a video of one or more other vehicles in proximity to the first vehicle, a first memory location communicatively coupled to the camera, wherein the first memory location stores video data captured by the camera, and an evaluation module including a processor executing instructions that cause the processor to: evaluate the captured video stored in the first memory location to determine whether a driving event performed by a second vehicle has occurred, assign, in response to an identified driving event performed by the second vehicle, a driving event rating to a video showing the identified driving event, wherein the driving event rating may be calculated, at least in part, using a crowd-sourced driving event rating obtained after posting the video to a social network.

A terrestrial vehicle such as a truck has one or more video cameras mounted to capture a field of view that includes looking forward and ahead of the vehicle. The vehicle also includes one or more rear-mounted, rear-facing displays that are operably coupled to such a camera. Forward-looking images from the front side of the vehicle are presented on the aforementioned displays to thereby provide a viewer positioned behind the vehicle with that forward-looking image of the road ahead. So configured, drivers looking to pass such a vehicle are provided with real-time information regarding circumstances that can greatly affect the safety of such an action and can use that information to better inform their decisions and actions.

A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

A camera is attached to a first vehicle and directed away from the first vehicle in order to capture images of object that are near or which approach the first vehicle, including a second vehicle configured to receive and process image data. Data representing images that are captured by the camera of the first vehicle are transmitted to a second vehicle. The image data from the first vehicle is used to provide images of the exterior of the second vehicle from the perspective of the first vehicle.

A system and method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors. The path is configured to be updatable dynamically based on changes in the destination location or changes along the path. The destination location is a parking spot for the vehicle at the parking location.

A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

A method provides driver information in a motor vehicle, in which method a recording device of the motor vehicle captures an image flow containing images of at least one part of the environment of the motor vehicle. A display unit in the interior of the motor vehicle reproduces at least one image section of the image flow. A display control unit of the motor vehicle automatically modifies the environmental section shown to the driver by reproducing the image section using the display unit. During the reproduction of the image section, in addition to the representation of the environmental section, at least first optical information relating to the position of the environmental section relative to the motor vehicle is output to the driver.

The present invention relates generally to a covert recording alarm apparatus for vehicles that includes one or more sensors strategically placed within the vehicle, e.g. in the car lock knob that are configured for detecting any instrument, added weight or pressure being applied to a vehicle's entry points. If any such force is detected, the apparatus' sensor(s) trigger an the image capturing mechanism to begin taking pictures and videos of the theft activity which is transmitted as an alert to legal authorities, a monitoring service and/or the owner/operator's mobile phone where it is published and displayed as a video, text or email such that the appropriate action can be taken.

A trailer angle detection system and method of detecting a trailer of a vehicle including a wide-angle camera and a controller. The controller is configured to receive a signal from the wide-angle camera representative of an area behind the vehicle. The controller transforms the signal into a top-down image. The controller determines a first plurality of values. Each of the first plurality of values is indicative of an amount of symmetry in a region of the top-down image. The controller determines a second plurality of values. Each of the second plurality of values is indicative of how closely a shape in the top-down image matches a predetermined shape. Then, the controller determines an estimate of an articulation angle based on the first plurality of values and the second plurality of values. Then controller performs an automated vehicle maneuver based on the estimate of the articulation angle.

A center console includes a cylindrical shell defining a compartment. The compartment includes a spindle extending between first and second ends of the cylindrical shell and coaxially positioned within the cylindrical shell for rotation therein, and at least one divider supported by the spindle for subdividing the compartment. The spindle includes at least one support having a first magnet positioned therein and the at least one divider has a second magnet associated with an tongue such that the first magnet and the second magnet cooperate to secure the at least one divider to the spindle within the at least one support. A related method of accessing one of a plurality of subcompartments of a compartment defined by a cylindrical shell includes the steps of establishing a name the subcompartments, selecting by name one of the subcompartments for movement, and rotating the spindle and the subcompartments to allow access to the selected subcompartment.