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Robust UAV Visual Teach and Repeat Using Only Sparse Semantic Object Features

In CRV 2018 [Demo Video]

This is a proof-of-concept project trying to show that the navigation can be done using only sparse semantic object features. With the help of recent advances in Deep Learning, state-of-the-art object detectors are light-, condition, viewpoint-invariant oppose to low-level traditional features such as SIFT, SURF, etc.

This is ROS-based implementation of our CRV 2018 paper on robust UAV visual teach and repeat using only sparse semantic object features. citation information:

@inproceedings{GhasemiShamshirdarVaughan_semantic_vtr,
    Author = {Ghasemi, Amirmasoud and Shamshirdar, Faraz and Vaughan, Richard},
    Title = {Robust UAV visual teach and repeat using only sparse semantic object features},
    Booktitle = {Computer and Robot Vision ({CRV})},
    Year = {2018}
}