A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes
Fig 7
Trajectories of the agent with a collision avoidance system based on EMDs in a box (40 × 40 × 40cm) covered with different patterns (seen from above).
Trajectories with four different starting positions are shown (see S12 Fig for different starting position). The simulation time was 10sec or until the agent crashed. Walls of the box are covered with a natural pattern (A), a 1mm random checkerboard (B), a 4mm random checkerboard (C), an 8mm random checkerboard (D), a 35mm random checkerboard (E), and a random pattern with 1/f statistic (F). The gain and the threshold of the weighting function was 2 and 4, respectively, for all cases.