Roohollah Khorrambakht

A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation

Conventionally, deep odometry networks use objective functions that only penalize short-term deviations from the true path. Since such an objective does not impose any constraints on the long-term deviations from the path, a second consistency-based loss term may be added to lower long-term drift. H…