A connected-vehicle interface module is provided that includes a connected-vehicle controller, a wireless data connected-vehicle radio for receiving an activation signal indicating a road condition, and a connected-vehicle interface controller. The connected-vehicle interface controller including a microcontroller and a plurality of universal asynchronous receiver transmitters for receiving, transmitting, and processing data received by at least one of the connected-vehicle controller and the connected-vehicle radio, and communicated to the microcontroller via one or more wired connections; a memory device for storing program data, and an ethernet transceiver and communication port, coupled to the microcontroller, for connection and communication with a connected vehicle road side unit, wherein the activation signal is communicated to the connected vehicle road side unit via the communication port, and at least one operator interface in communication with at least one of the connected-vehicle radio, the connected-vehicle interface controller, and the connected-vehicle controller.

A vehicle, system and a method of operating the vehicle is disclosed. The system includes a first sensor, a second sensor and a processor. The first sensor captures an image of a traffic control device. The second sensor identifies a lane within a road that is occupied by the vehicle. The processor is configured to determine an attribute of the lane occupied by the vehicle, associate a semantic meaning to a motion control signal of the traffic control device, determine a maneuver for the vehicle based on the semantic meaning of the motion control signal and the attribute of the lane occupied by the vehicle, and perform the maneuver at the vehicle.

A method and device for operating an automated vehicle. The method includes a step of receiving a position of the automated vehicle, a step of providing a map, as a function of the position, a step of receiving environment data values, which represent an environment of the automated vehicle, as a function of the position, a step of producing an environment model, as a function of the environment, on the basis of the map, and a step of operating the automated vehicle, as a function of the environment model.

A travel road determination apparatus includes a vehicle position acquisition unit and a travel road determination unit. The vehicle position acquisition unit acquires position information of a vehicle. In first determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on a first-type road based on first position information of the vehicle has started traveling on a second-type road, based on second position information of the vehicle and first map data. In second determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on the second-type road based on third position information of the vehicle has started traveling on the first-type road, based on fourth position information of the vehicle and the second map data.

Examples described herein provide a computer-implemented method that includes receiving first data from a sensor of a vehicle. The method further includes determining, by a processing device, whether an incident external to the vehicle has occurred by processing the first data using a machine learning model. The method further includes, responsive to determining that an incident external to the vehicle has occurred, initiating recording of second data by the sensor. The method further includes, responsive to determining that an incident external to the vehicle has occurred, taking an action to control the vehicle.

Embodiments relate to a vehicle, an apparatus, a method and a computer program for sharing sound data. The apparatus (10) for sharing sound data from a vehicle (100) comprises one or more interfaces (12) configured to communicate in a mobile communication system (300) and one or more microphones (16) configured to record sound data. The apparatus (10) further comprises a control module (14), which is configured to control the one or more interfaces (12) and the one or more microphones (12). The control module (14) is further configured to record sound samples using the one or more microphones (16), and to communicate information on the sound samples to another vehicle (200) using the one or more interfaces (12).

An example operation may include one or more of identifying a new condition of a transport during a transport event based on sensor data, retrieving a transport condition profile, comparing the new condition to an initial condition of the transport, stored prior to the transport event, in the transport condition profile, and determining the transport is damaged based on the comparing.

A sensing method and a sensing device for HDVs (human driven vehicles) under a partial VANET environment are provided. According to the method, an existence sensing module and a location sensing module are constructed, based on a long-short-term-memory recurrent neural network, with utilizing historical information of motion states of a single CAV (connected and autonomous vehicle) as an input, existence and exact locations of surrounding HDVs of the CAV are outputted. The method is not only applicable to sensing the surrounding HDVs of the single CAV, but also the surrounding HDVs of the multiple CAVs. An estimation result of each CAV is firstly obtained, then the estimation results of the CAVs are checked with confliction criterion, according to checking results, the estimation results of the multiple CAVs are fused, and information about the surrounding HDVs of each CAV is finally outputted.

An obstacle information management device includes a vehicle behavior acquisition unit that is configured to acquire vehicle behavior data indicative of behaviors of a plurality of vehicles in association with position information; an appearance determination unit that is configured to specify a point, as an obstacle registration point, where an obstacle has appeared based on the vehicle behavior data acquired by the vehicle behavior acquisition unit; and a disappearance determination unit that is configured to determine, based on the vehicle behavior data acquired by the vehicle behavior acquisition unit, whether the obstacle remains or has disappeared at the obstacle registration point where the obstacle was determined to exist by the appearance determination unit.

A safety system (200) for a vehicle (100) is provided. The safety system (200) may include one or more processors (102). The one or more processors (102) may be configured to control a vehicle (100) to operate in accordance with the predefined stored driving model parameters, to detect vehicle operation data during the operation of the vehicle (100), to determine whether to change predefined driving model parameters based on the detected vehicle operation data and the driving model parameters, to change the driving model parameters to changed driving model parameters, and to control the vehicle (100) to operate in accordance with the changed driving model parameters.