A typical unmanned and remotely operated vehicle is usually equipped with cameras which give insufficient information about the nearest environment and an operator has difficulties in driving such a vehicle in unknown environment. In this paper, we consider a problem of the vehicle nearest area map building based on additional devices. The vehicle is equipped with SICK LMS lasers, inclinometer and radars. Combining information from the devices allows to build a map which helps an operator to drive the vehicle more efficiently. We tested the system on a few military vehicles and the results show that our system really improves remotely driving.