Deep Robust Multi-Robot Re-Localisation in Natural Environments
Milad Ramezani,Ethan Griffiths,Maryam Haghighat,Alex Pitt,Peyman Moghadam,Milad Ramezani,Ethan Griffiths,Maryam Haghighat,Alex Pitt,Peyman Moghadam
The success of re-localisation has crucial implications for the practical deployment of robots operating within a prior map or relative to one another in real-world scenarios. Using single-modality, place recognition and localisation can be compromised in challenging environments such as forests. To address this, we propose a strategy to prevent lidar-based re-localisation failure using lidar-imag...
