OPTIMAL PATHS FOR A CAR THAT GOES BOTH FORWARDS AND BACKWARDS

OPTIMAL PATHS FOR A CAR THAT GOES BOTH FORWARDS AND BACKWARDS

October 1990 | JAMES ALEXANDER REEDS, III AND LAWRENCE A. SHEPP
The paper discusses optimal paths for a car that can move both forward and backward, focusing on minimizing the path length between two points with specified starting and ending directions. The car has a minimum turning radius, and the path may have cusps when reversing gears. The authors show that any optimal path can be described using a set of specific path forms, which include at most two cusps. These forms are derived from a combination of circular arcs and straight line segments, with the ability to reverse direction at cusps. The authors provide explicit formulas for these paths, allowing for the calculation of the shortest path between two points. They also show that these optimal paths can be reduced to a set of 68 formulas, which are sufficient to describe all possible optimal paths for any given starting and ending conditions. The paper also includes a detailed analysis of the mathematical properties of these paths, including their curvature and direction changes, and provides a proof of the optimality of these paths. The authors conclude that these optimal paths can be used to solve the problem of finding the shortest path for a car with a minimum turning radius, both in forward and reverse directions.The paper discusses optimal paths for a car that can move both forward and backward, focusing on minimizing the path length between two points with specified starting and ending directions. The car has a minimum turning radius, and the path may have cusps when reversing gears. The authors show that any optimal path can be described using a set of specific path forms, which include at most two cusps. These forms are derived from a combination of circular arcs and straight line segments, with the ability to reverse direction at cusps. The authors provide explicit formulas for these paths, allowing for the calculation of the shortest path between two points. They also show that these optimal paths can be reduced to a set of 68 formulas, which are sufficient to describe all possible optimal paths for any given starting and ending conditions. The paper also includes a detailed analysis of the mathematical properties of these paths, including their curvature and direction changes, and provides a proof of the optimality of these paths. The authors conclude that these optimal paths can be used to solve the problem of finding the shortest path for a car with a minimum turning radius, both in forward and reverse directions.
Reach us at info@study.space