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Found 4 papers, 0 papers with code
Improving Road Segmentation in Challenging Domains Using Similar Place Priors
These approaches share one or more of three significant limitations: a reliance on large amounts of annotated training data that can be costly to obtain, both anticipation of and training data from the type of environmental conditions expected at inference time, and/or imagery captured from a previous visit to the location.
PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network
The method was validated experimentally on a new large natural rock dataset, comprising coloured LIDAR point clouds spanning more than 900 m^2 and 412 individual cracks.
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail.
Ctrl-Z: Recovering from Instability in Reinforcement Learning
When learning behavior, training data is often generated by the learner itself; this can result in unstable training dynamics, and this problem has particularly important applications in safety-sensitive real-world control tasks such as robotics.
