© COPYRIGHT 2017 SPIE. Downloading of the abstract is permitted for personal use only. A visual approach in environment recognition for robot navigation is proposed. This work includes a template matching filtering technique to detect obstacles and feasible paths using a single camera to sense a cluttered environment. In this problem statement, a robot can move from the start to the goal by choosing a single path between multiple possible ways. In order to generate an efficient and safe path for mobile robot navigation, the proposal employs a pseudo-bacterial potential field algorithm to derive optimal potential field functions using evolutionary computation. Simulation results are evaluated in synthetic and real scenes in terms of accuracy of environment recognition and efficiency of path planning computation.
|Original language||American English|
|State||Published - 1 Jan 2017|
|Event||Proceedings of SPIE - The International Society for Optical Engineering - |
Duration: 1 Jan 2017 → …
|Conference||Proceedings of SPIE - The International Society for Optical Engineering|
|Period||1/01/17 → …|
Orozco-Rosas, U., Picos, K., Díaz-Ramírez, V. H., Montiel, O., & Sepúlveda, R. (2017). Visual environment recognition for robot path planning using template matched filters. Paper presented at Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.2273596