This paper presents a novel deep-learning-based approach to improve
loca...
In this paper, we propose a way to model the resilience of the Iterative...
Autonomous navigation in unknown 3D environments is a key issue for
inte...
In this paper, we present a fast, lightweight odometry method that uses ...
In the context of robotics, accurate ground-truth positioning is the
cor...
In the context of autonomous driving, vehicles are inherently bound to
e...
Challenges inherent to autonomous wintertime navigation in forests inclu...
In the context of autonomous vehicles, one of the most crucial tasks is ...
In the context of autonomous robots, one of the most important tasks is ...
Mapping algorithms that rely on registering point clouds inevitably suff...
In subarctic and arctic areas, large and heavy skid-steered robots are
p...
In a context of autonomous robots, one of the most important task is to
...
In the context of 3D mapping, larger and larger point clouds are acquire...
In a context of 3D mapping, it is very important to get accurate measure...