CAMEL: Learning Cost-maps Made Easy for Off-road Driving. (arXiv:2209.12413v2 [cs.RO] UPDATED)

Cost-maps are used by robotic vehicles to plan collision-free paths. The cost
associated with each cell in the map represents the sensed environment
information which is often determined manually after several trial-and-error
efforts. In off-road environments, due to the presence of several types of
features, it is challenging to handcraft the cost values associated with each
feature. Moreover, different handcrafted cost values can lead to different
paths for the same environment which is not desirable. In this paper, we
address …

arxiv cost driving easy maps