Abstract: A vehicle front recognition apparatus includes an imager that captures an image of an environment ahead of a vehicle on the road, an image analyzer that analyzes the image of the environment with artificial intelligence to segment the image areas of the image by classes to which objects captured in the image belong, and a road information acquirer that acquires high-precision map information ahead of the vehicle. The vehicle front recognition apparatus acquires dynamic information that is not included in the high-precision map information from the classes. The image analyzer includes a feeling-of-strangeness area extractor extracting a feeling-of-strangeness area using the classes from the image areas. The vehicle front recognition apparatus further includes a feeling-of-strangeness area verifier that verifies whether the vehicle can pass through the feeling-of-strangeness area and a notifier that notifies a driver when the vehicle cannot pass through the feeling-of-strangeness area.

Abstract: A vehicle drive assist apparatus is to be applied to a vehicle. The vehicle drive assist apparatus includes an object recognizer, a risk area setter, and a risk level setter. The object recognizer is configured to recognize an object in front of the vehicle. The risk area setter is configured to, when small objects are around the object, set a risk area including the small objects. The risk level setter is configured to set a risk level for the risk area with respect to the vehicle based on distribution of height information items within the risk area.

Abstract: A vehicle drive assist apparatus is to be applied to a vehicle. The apparatus includes an object recognizer, a risk area setter, a risk level setter, a route candidate setter, a route evaluation value calculator, and a vehicle travel route setter. The object recognizer recognizes an object in front of the vehicle. The risk area setter sets, when small objects are around the object, a risk area including the small objects. The risk level setter sets a risk level for the risk area based on a distribution state of the small objects within the risk area. The route candidate setter sets patterns of route candidates for avoiding a risk resulting from the risk area. The route evaluation value calculator calculates a route evaluation value for each of the route candidates. The vehicle travel route setter sets, as a vehicle travel route, the route candidate having an optimum route evaluation value.

Abstract: A vehicle drive assist apparatus is to be applied to a vehicle. The vehicle drive assist apparatus includes an object recognizer, a dispersion area extractor, and a risk area setter. The object recognizer is configured to recognize an object in front of the vehicle. The dispersion area extractor is configured to extract a dispersion area where luminance values are dispersed around the recognized object. The risk area setter is configured to set, as a risk area where small objects are distributed, an area including the dispersion area.

Abstract: A non-transitory computer readable medium stores a program causing a computer to execute: determining any one of a plurality of winning types; awarding a reward to a player on the basis of the determined winning type; setting reward group information in which at least one reward group configured by combining a plurality of winning types or a plurality of rewards is defined; deciding that a reward group in which the number of determined winning types or the number of rewards awarded to the player has reached a predetermined number is an achieved reward group; and allowing the reward group information to be changed on condition that the number of achieved reward groups has reached a preset particular number.