Thesis abstract:

«p»Robust localisation and mapping are crucial for autonomous driving. Despite many advances over the past decade, most current approaches are not guaranteed for robustness in complex driving scenarios. This research aims to develop a robust and efficient multimodal SLAM algorithm that combines complementary characteristics of diverse sensing modalities to overcome this problem.«/p»