Search Results

In recent years Road Departure Mitigation Systems (RDMS) is introduced to the market for avoiding roadway departure collisions. To support the performance testing of the RDMS, the most commonly seen road edge, grass, is studied in this paper for the development of standard surrogate grass. This paper proposes a method for defining the resembling grass color and height features due to significant variations of grass appearances in different seasons, temperatures and environments. Randomly selected Google Street View images with grass road edges are gathered and analyzed. Image processing techniques are deployed to obtain the grass color distributions. The height of the grass is determined by referencing the gathered images with measured grass heights. The representative colors and heights of grass are derived as the specifications of surrogate grass for the standard evaluation of RDMS.

Computer aided systems for performance evaluation of functional devices for passenger cars, such as engines or transmissions, have been applied for ten years. These systems generally consist of a large main frame computer or minicomputers for conducting a large number of complicated analyses. In the past, these computer aided systems were used for vehicle research and development since they were too expensive and sophisticated for use on the production line. Today, microcomputers with mass memory or personal computers are available at very low cost in comparison to conventional minicomputers. With many distributed microcomputers, we have developed a new test and control system for the engine production line. This system consists of (1) a microcomputer with a disk system for test data storage, (2) five personal computers for the man-machine system and data processing, and (3) microcomputers for real time control and data acquistion.