Details

Autor(en) / Beteiligte

• Ruijuan Chang
• Rong Ding
• Mengxiang Lin
• Dechao Meng
• Zeye Wu
• Meng Hang

Titel

An experimental evaluation of balance strategy based obstacle avoidance

Ist Teil von

• 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Optical flow plays an important role in vision-based navigation. A lot of optical flow based methods have been developed for autonomous robots. In this paper, we evaluate obstacle avoidance methods based on optical flow in synthetic and real-world scenes. Specifically, the balance strategy is chosen and five representative optical flow algorithms are used. The new metrics for obstacle avoidance performance are introduced. Our experiments demonstrate the effectiveness of the balance strategy for obstacle avoidance. Furthermore, some factors contributing to obstacle avoidance ability are studied.