Artificial intelligence for long-term robot autonomy: A survey
Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …
domains including space, marine, air, field, road, and service robotics. They will assist us in …
Self-localization based on visual lane marking maps: An accurate low-cost approach for autonomous driving
Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best localization systems based on GNSS cannot always reach this …
centimeters. Even the best localization systems based on GNSS cannot always reach this …
Automation and robotics in the cultivation of pome fruit: Where do we stand today?
R Verbiest, K Ruysen, T Vanwalleghem… - Journal of Field …, 2021 - Wiley Online Library
The cultivation of apples and pears in orchards consists of several tasks that still demand
much human labor. The cost of this skilled labor increases while the number of competent …
much human labor. The cost of this skilled labor increases while the number of competent …
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned
D Baril, SP Deschênes, O Gamache, M Vaidis… - ar** and localization are the primary components for mobile robots in real
world application deployment, of which the crucial challenge is the robustness and stability …
world application deployment, of which the crucial challenge is the robustness and stability …
Learn from experience: Probabilistic prediction of perception performance to avoid failure
Despite significant advances in machine learning and perception over the past few decades,
perception algorithms can still be unreliable when deployed in challenging time-varying …
perception algorithms can still be unreliable when deployed in challenging time-varying …
Laser map aided visual inertial localization in changing environment
Long-term visual localization in outdoor environment is a challenging problem, especially
faced with the cross-seasonal, bi-directional tasks and changing environment. In this paper …
faced with the cross-seasonal, bi-directional tasks and changing environment. In this paper …
I can see for miles and miles: An extended field test of visual teach and repeat 2.0
Autonomous path-following systems based on the Teach and Repeat paradigm allow robots
to traverse extensive networks of manually driven paths using on-board sensors. These …
to traverse extensive networks of manually driven paths using on-board sensors. These …