Engineering: Data Science in Autonomy and Navigation

Data science has become a vital element in autonomy and navigation, improving decision-making processes and providing accurate navigation capabilities. Additionally, sensory data collected from diverse sensors is a counterstone in developing sophisticated sensor fusion algorithms using deep learning or hybrid methodologies.
Advances in real-time processing facilitate faster decision making and obstacle avoidance for autonomous systems that can be operated in very limited hardware computation capacity. Data science continues to be a driving force in autonomy and navigation. It provides the tools and techniques to address these challenges and push the boundaries of what autonomous systems can achieve. This Topical Collection aims at collecting high quality research papers and review articles focusing on recent advances in data-driven based autonomy and navigation.