A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

A method and an apparatus for testing a ramp driving performance, and a storage medium, where the method includes: controlling, according to a preset traveling track, an automatic driving vehicle to perform a stopping operation when the automatic driving vehicle is traveling on a ramp to a reference position; obtaining relative position information between an actual stopping position of the automatic driving vehicle and a reference object disposed at the reference position; and determining, according to the relative position information, whether the automatic driving vehicle is accurately stopped on the ramp. The driving performance of the automatic driving vehicle in a special scenario, such as ramp stopping, can be accurately detected, thereby ensuring a driving safety of the automatic driving vehicle in the ramp stopping scenario.

A method and an apparatus for testing a ramp driving performance, and a storage medium, where the method includes: controlling, according to a preset traveling track, an automatic driving vehicle to perform a stopping operation when the automatic driving vehicle is traveling on a ramp to a reference position; obtaining relative position information between an actual stopping position of the automatic driving vehicle and a reference object disposed at the reference position; and determining, according to the relative position information, whether the automatic driving vehicle is accurately stopped on the ramp. The driving performance of the automatic driving vehicle in a special scenario, such as ramp stopping, can be accurately detected, thereby ensuring a driving safety of the automatic driving vehicle in the ramp stopping scenario.

A camera position detection apparatus detects imaging positions of a plurality of cameras that are mounted on a vehicle and that include acceleration sensors, where the imaging positions indicate positions at which the cameras capture images with respect to the vehicle. The camera position detection apparatus includes a reference camera information acquisition unit that acquires information on the imaging position of a reference camera that is a part of the cameras, an acceleration acquisition unit that acquires information on acceleration detected by the acceleration sensor for each of the cameras, and an imaging position detection unit that detects an imaging position of a setting target camera that is the camera different from the reference camera among the cameras.

A computer-implemented method of providing a recommendation as to a fault determination for a motor vehicle collision is disclosed. The method may include receiving unstructured text describing the circumstances of the collision. The unstructured text is evaluated an associated intent related to the circumstances of the motor vehicle collision is identified. The intent is mapped to an internal node of a decision tree corresponding to a set of fault-determination rules. The computer then successively prompts and receive input responsive to the prompting that corresponds to details of the circumstances of the collision. The computer may identify, based on the received input, a path through the decision tree ending at a leaf node that corresponds to a fault-determination rule governing motor vehicle collisions that matches the circumstances of the motor vehicle collision. The recommendation is then provided based on that rule. Related systems and computer-readable media are also disclosed.

A computer-implemented method of providing a recommendation as to a fault determination for a motor vehicle collision is disclosed. The method may include receiving unstructured text describing the circumstances of the collision. The unstructured text is evaluated an associated intent related to the circumstances of the motor vehicle collision is identified. The intent is mapped to an internal node of a decision tree corresponding to a set of fault-determination rules. The computer then successively prompts and receive input responsive to the prompting that corresponds to details of the circumstances of the collision. The computer may identify, based on the received input, a path through the decision tree ending at a leaf node that corresponds to a fault-determination rule governing motor vehicle collisions that matches the circumstances of the motor vehicle collision. The recommendation is then provided based on that rule. Related systems and computer-readable media are also disclosed.

An onboard device includes a body member, a support member projecting from the body member and including a base to be attached to a concave inner surface of a glass member having a curved shape provided in a vehicle, and a double-sided adhesive tape stuck on a the base. The base is a plate-like member including an attachment surface to be opposed to the inner surface of the glass member. The attachment surface is a curved surface having a curvature at least in a first direction along the attachment surface. The double-sided adhesive tape is provided with at least one first slit open toward an upper edge located on the upper side and cut downward and at least one second slit open toward a lower edge located on the lower side and cut upward when the base (3) is attached to the inner surface,

A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

A method can include obtaining vehicle data corresponding to an autonomous vehicle. The autonomous vehicle can include a vehicle controller configured to control a set of driving maneuvers of the autonomous vehicle. The method can further include obtaining accident condition data based, at least in part, on the vehicle data. The accident condition data can include a first set of driving conditions under which a vehicle accident occurred. The method can further include generating an accident condition record based, at least in part, on the accident condition data. The method can further include determining that the vehicle controller is not trained to control the set of driving maneuvers of the autonomous vehicle under the first set of driving conditions. The method can further include generating, in response to the determining, a pending test case based, at least in part, on the accident condition record.