Abstract: In an information processing device (a server device), a first acquirer acquires multiple captured images of the outside of a vehicle. A detector detects, from acquired multiple captured images, multiple images related to unsafe driving using a learned model. An image extractor extracts, from detected multiple images related to unsafe driving, an image to be a candidate for relearning data of the learned model.

Abstract: A stop detection device includes: an acquirer that acquires multiple captured images captured in chronological order by a camera mounted on a vehicle; an image processor that performs image processing on acquired multiple captured images; and a detector that detects vehicle speed of a vehicle at a stop position based on a result of image processing. The image processor includes a stop position identification unit that detects a marking indicating a stop position from a captured image to identify a stop position, and a vehicle speed calculation unit that calculates vehicle speed by comparing captured images in chronological order. The vehicle speed calculation unit excludes a specific region from each of multiple captured images to compare captured images.

Abstract: A driving evaluation device includes a first memory and a first processor that is coupled to the first memory. The first processor is configured to cause driving information pertaining to dangerous driving incidents collected from a vehicle to be stored in a storage unit together with types and danger ratings of the dangerous driving incidents, generate evaluation information pertaining to a driver of the vehicle based on the driving information collected from the vehicle, retrieve dangerous driving incidents pertaining to the driver based on at least one of the types or the danger ratings, and provide to a user the evaluation information that has been generated and driving information pertaining to the dangerous driving incidents that have been retrieved.

Abstract: A flood sensing device includes: an acquiring section that acquires plural types of traveling state data relating to traveling of a vehicle; and a sensing section that senses flooding of a road on which the vehicle travels by using (a) a physical quantity that is estimated on the basis of (i) a vehicle behavior model, which is configured by driving force of the vehicle and traveling resistance that includes air resistance applied to the vehicle, slope resistance applied to the vehicle and rolling resistance applied to the vehicle, and which determines the physical quantity that varies due to the vehicle traveling, and (ii) the plural types of traveling state data of the present time that are acquired by the acquiring section, and (b) the physical quantity that is obtained from the traveling state data of the present time that is acquired by the acquiring section.

Abstract: A flood detection device and method that acquires meteorological data; acquires traffic volume data representing vehicle traffic volume; and determines that an area, in which a vehicle traffic volume during or after rain is less than or equal to a predetermined number of vehicles, is flooded based on the meteorological data and the traffic volume data, when a probability, that the vehicle traffic volume in a normal time is less than or equal to the predetermined number of vehicles, is less than a predetermined value, the normal time being a state in which a rainfall amount is less than a predetermined value.

Abstract: A driving evaluation device that acquires dangerous driving detection results for a plurality of vehicles and characteristic information indicating supplementary characteristics for at least one of a driver characteristic or an environmental characteristic; and groups the acquired dangerous driving detection results according to the characteristic information, and derives a relative driving evaluation result for each driver of the plurality of vehicles, based on the grouped detection results.

Abstract: A temporary stop detection device that includes: a memory; and a processor coupled to the memory, the processor being configured to: acquire image information indicating a captured image captured by an imaging device provided to a vehicle; detect a plurality of road signs, including a temporary stop sign, from the acquired image information; and detect a temporary stop position by using a bounding box surrounding a region including the plurality of detected road signs.

Abstract: A driving evaluation device includes a first memory and a first processor that is coupled to the first memory. The first processor is configured to cause driving information pertaining to dangerous driving incidents collected from a vehicle to be stored in a storage unit together with types and danger ratings of the dangerous driving incidents, generate evaluation information pertaining to a driver of the vehicle based on the driving information collected from the vehicle, retrieve dangerous driving incidents pertaining to the driver based on at least one of the types or the danger ratings, and provide to a user the evaluation information that has been generated and driving information pertaining to the dangerous driving incidents that have been retrieved.

Abstract: A moving body obstruction detection device includes: a detection section that detects a predetermined moving body within an image that is captured by an imaging section provided at a vehicle; and an inferring section that infers a moving body state that relates to the moving body crossing a road, based on a position of a bounding box that surrounds the moving body detected by the detection section.

Abstract: A dangerous driving detection device includes: an acquisition section that acquires image information, which expresses captured images that are captured by an imaging section provided at a vehicle, and vehicle information that expresses a state of the vehicle; plural detection sections that, based on the image information and the vehicle information acquired by the acquisition section, detect types of dangerous driving that are respectively different from one another; and a deriving section that, based on results of detection of the plural detection sections, derives a degree of danger of dangerous driving of a driver.

Abstract: A determination device includes a processor. The processor is configured to detect an object in an image captured by an image capture section provided at a vehicle, generate a determination area in accordance with a direction of movement of the vehicle based on travel information of the vehicle and based on a position and a speed of the object, and determine danger to be present in a case in which the object is present in the determination area.

Abstract: A flood detection device and method that acquires meteorological data; acquires traffic volume data representing vehicle traffic volume; and determines that an area, in which a vehicle traffic volume during or after rain is less than or equal to a predetermined number of vehicles, is flooded based on the meteorological data and the traffic volume data, when a probability, that the vehicle traffic volume in a normal time is less than or equal to the predetermined number of vehicles, is less than a predetermined value, the normal time being a state in which a rainfall amount is less than a predetermined value.

Abstract: A flooding sensing device, including: an acquisition section configured to acquire vehicle model information and plural items of travel state data related to travel of a vehicle; and a detection section configured to select a vehicle behavior model from plural vehicle behavior models that are derived in advance for each vehicle model, the vehicle behavior model corresponding to the vehicle model information and calculates a physical quantity that changes in accordance with travel by the vehicle, the detection section detects flooding of a road on which the vehicle travels, using the physical quantity, which is predicted based on the selected vehicle behavior model and on the current plurality of items of travel state data acquired by the acquisition section, and using the physical quantity, which is obtained from the current plurality of items of travel state data acquired by the acquisition section.

Abstract: A flood sensing device includes: an acquiring section that acquires plural types of traveling state data relating to traveling of a vehicle; and a sensing section that senses flooding of a road on which the vehicle travels by using (a) a physical quantity that is estimated on the basis of (i) a vehicle behavior model, which is configured by driving force of the vehicle and traveling resistance that includes air resistance applied to the vehicle, slope resistance applied to the vehicle and rolling resistance applied to the vehicle, and which determines the physical quantity that varies due to the vehicle traveling, and (ii) the plural types of traveling state data of the present time that are acquired by the acquiring section, and (b) the physical quantity that is obtained from the traveling state data of the present time that is acquired by the acquiring section.