Collaborative Visual SLAM Using Compressed Feature Exchange.

In the field of robotics, collaborative simultaneous localization and mapping (SLAM) is still a challenging problem. The exploration of unknown large-scale environments benefits from sharing the work among multiple agents possibly equipped with different abilities, such as aerial or ground-based vehicles. In this letter, we specifically address data-efficiency for the exchange of visual informatio...