There are a vast number of methods for detecting obstacles, though not taking resource consumption into consideration. The proposed method is an obstacle detection and mapping method focused on systems with constrained memory capacity and processing power, and is called the Inverted Particle Filter. This method has small resource requirements, and can be fine tuned according to available resources. The conducted experiments show promising results.
['Adam Leon Kleppe', 'Amund Skavhaug']
Obstacle detection and mapping in low-cost, low-power multi-robot systems using an Inverted Particle Filter.