Systems and methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.

Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

[Problem] The present invention obtains a controller and a control method capable of appropriately recording desired information in a recording unit of a straddle-type vehicle.

[Means for Resolution] In the controller and the control method according to the present invention, recording of information by a recording processor is controlled, the recording processor continuously acquires target information as a recording target and can execute event data recording for recording partial information, which is information acquired in a period including a shock application time at which the straddle-type vehicle receives a shock, of the target information as event data. In addition, selection of whether to prohibit or permit the event data recording is made in the case where it is determined that the straddle-type vehicle is brought into an off-ground state where a wheel of the straddle-type vehicle comes off the ground.

A travel status recording apparatus records an image captured by a camera mounted on a vehicle, identifies personal information included in the captured image, and masks the personal information in the captured image. A server acquires a masked image corresponding to the captured image in which the personal information is masked from the travel status recording apparatus. The server determines, in response to a request from a third party, whether to restore the personal information included in the acquired masked image based on a preset restoration level. In a case where the server determines to restore the personal information, the server restores the personal information. In a case where the server determines not to restore the personal information, the server conceals the personal information.

A method for operating an advanced driver assistance (ADAS) system of a motor vehicle includes a vehicle controller receiving, from side and end cameras mounted to the vehicle, camera signals indicative of real-time images of outboard-facing side and end views of the vehicle. The controller determines a region of interest (ROI) inset within each end/side view within which is expected foreign objects and/or hazards. These ROIs are analyzed to detect if a foreign object/hazard is present in the vehicle's end and/or side views. Responsive to detecting the foreign object/hazard, movement of the foreign object/hazard is tracked to determine if the foreign object/hazard moves towards or away from the vehicle's underbody region. If the foreign object/hazard moves to the underbody region, control signals are transmitted to the vehicle's propulsion and/or steering system to automate preventative action that prevents collision of the vehicle with and/or removes the foreign object/hazard from the underbody.

A method for operating an advanced driver assistance (ADAS) system of a motor vehicle includes a vehicle controller receiving, from side and end cameras mounted to the vehicle, camera signals indicative of real-time images of outboard-facing side and end views of the vehicle. The controller determines a region of interest (ROI) inset within each end/side view within which is expected foreign objects and/or hazards. These ROIs are analyzed to detect if a foreign object/hazard is present in the vehicle's end and/or side views. Responsive to detecting the foreign object/hazard, movement of the foreign object/hazard is tracked to determine if the foreign object/hazard moves towards or away from the vehicle's underbody region. If the foreign object/hazard moves to the underbody region, control signals are transmitted to the vehicle's propulsion and/or steering system to automate preventative action that prevents collision of the vehicle with and/or removes the foreign object/hazard from the underbody.

A system for transportation includes a self-driving vehicle, an artificial intelligence (AI) system in communication with the vehicle, and a vehicle routing system to plan a planned route for the vehicle to meet a common transportation need. The vehicle is to autonomously follow the planned route. The AI system includes a data processing system to gather social media-sourced data about a plurality of individuals, the data being sourced from a plurality of social media sources, process the data to identify a subset of the individuals who form a social group based on group affiliation references in the data, and detect keywords in the data indicative of the transportation need. A neural network is trained to predict transportation needs based on the detected keywords to identify the common transportation need for the subset of the individuals.

A system for transportation, includes at least one vehicle and an artificial intelligence (AI) system in communication with the at least one vehicle. The AI system is operative on at least one processor having access to a non-transitory storage medium that stores computer executable instructions to be executed by the at least one processor. The AI system includes a first neural network of a hybrid neural network to classify social media data sourced from a plurality of social media sources as affecting a transportation system, a second neural network of the hybrid neural network to predict at least one vehicle-operating objective of the transportation system based on the classified social media data, and a third neural network of the hybrid neural network to optimize a state of the at least one vehicle in the transportation system to achieve the at least one vehicle-operating objective of the transportation system.

A method for operating an advanced driver assistance (ADAS) system of a motor vehicle includes a vehicle controller receiving, from side and end cameras mounted to the vehicle, camera signals indicative of real-time images of outboard-facing side and end views of the vehicle. The controller determines a region of interest (ROI) inset within each end/side view within which is expected foreign objects and/or hazards. These ROIs are analyzed to detect if a foreign object/hazard is present in the vehicle's end and/or side views. Responsive to detecting the foreign object/hazard, movement of the foreign object/hazard is tracked to determine if the foreign object/hazard moves towards or away from the vehicle's underbody region. If the foreign object/hazard moves to the underbody region, control signals are transmitted to the vehicle's propulsion and/or steering system to automate preventative action that prevents collision of the vehicle with and/or removes the foreign object/hazard from the underbody.