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Visual Guidance for Autonomous Vehicles                     19


                                    TABLE 1.3
                                    Influence of Camera Height on Visibility of Negative
                                    Obstacles

                                                      Visibility of negative obstacle (pixels)
                                                           trench width w = 1m
                                    Distance, d (m)  Camera height h = 2.5 m  Camera height h = 4m
                                    8                 21 (0.31 m)         35 (0.5 m)
                                    15                6.8 (0.17 m)       11 (0.27 m)
                                    25                2.5 (0.1 m)         4 (0.16 m)



                              cover a width of 13 m at distance 25 m and possibly detect a ditch {w = 1m,
                              h = 4 m} by viewing 8 pixels of the ditch.
                                 There are several options for improving the chances of detecting an obstacle:
                                 Raising the camera. This is not always an option for practical and oper-
                              ational reasons; for example, it makes the vehicle easier to detect by the
                              enemy.
                                 Increasing focal length. This has a direct effect but is offset by prob-
                              lems with exaggerated image motion and blurring. This becomes an important
                              consideration when moving over a rough terrain.
                                 Increased resolution. Higher-resolution sensors are available but they will
                              not help if a sharp image cannot be formed by the optics, or if there is image blur.
                                 The trade-off between resolution and FOV is avoided (at extra cost and
                              complexity) by having multiple sensors. Figure 1.4 illustrates the different
                              fields-of-view and ranges of the sensors on the VGS. Dickmanns [26,27], uses
                              a mixed focal system comprising two wide-angle cameras with divergent axes,
                                                  ◦
                              giving a wide FOV (100 ). A high-resolution three-chip color camera with
                              greater focal length is placed between the other cameras for detecting objects
                              at distance. The overlapping region of the cameras’ views give a region of
                              trinocular stereo.

                              1.3.4 Road and Vehicle Following

                              1.3.4.1 State-of-the-art
                              Extensive work has been carried out on road following systems in the late 1980s
                              and throughout the 1990s; for example, within the PROMETHEUS Programme
                              which ran from 1987 until 1994. Dickmanns [28] provides a comprehensive
                              review of the development of machine vision for road vehicles. One of the key
                              tasks is lane detection, in which road markings are used to monitor the position




                              © 2006 by Taylor & Francis Group, LLC



                                 FRANKL: “dk6033_c001” — 2006/3/31 — 16:42 — page 19 — #19
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