Abstract:
A vehicle that enables information on climb-over/touch on an obstacle to be utilized in lengthening the lives of tires and a vehicle body and maintenance such as replacement/repair is provided. The vehicle includes: a vehicle body 1a running on tires; an environmental recognition device 2 detecting any obstacle ahead of the vehicle body 1a; a touch determination section 4 determining touch on a tire; and a storage section 4a recording information on an obstacle touched/climbed over. The storage section 4a records information on an obstacle determined to have been touched by the touch determination section 4.
Abstract:
To provide a road shoulder-detecting system which can accurately measure the orientation of a vehicle relative to a road shoulder and the distance to the road shoulder. The present invention includes road shoulder-detecting units 2a, 2b to scan a road surface A in front of a vehicle 1 in the traveling direction of the vehicle 1 and detect a road shoulder B located on the road surface A and a road shoulder-measuring device 21a to measure the orientation of the vehicle 1 relative to the road shoulder B detected by the road shoulder-detecting units 2a, 2b and the distance to the road shoulder B; and the two road shoulder-detecting units 2a, 2b are installed on the traveling direction side of the vehicle 1. The two road shoulder-detecting units 2a, 2b are installed in a higher position than the upper ends of front wheels d.
Abstract:
An off-road dump truck includes a vehicle body, a peripheral recognition device, and an obstacle discrimination device. The peripheral recognition device detects obstacle candidates in front of the vehicle body. The obstacle discrimination device classifies the obstacle candidates, which were detected by the peripheral recognition device, into obstacles and non-obstacles and outputs, as obstacles, the obstacle candidates classified as obstacles. The obstacle discrimination device includes a travel state determination section, a distance filter section, and a reflection intensity filter section. The travel state determination section determines whether each obstacle candidate is a moving object or a stationary object. The distance filter section compares a distance, where the stationary object was first detected, with a distance threshold. The reflection intensity filter section calculates statistical information based on reflection intensity information on the obstacle candidate, and based on a comparison result of the statistical information with a threshold, classifies the obstacle candidate.