Web: http://arxiv.org/abs/2206.12946

Sept. 19, 2022, 1:14 a.m. | Nimet Kaygusuz, Oscar Mendez, Richard Bowden

cs.CV updates on arXiv.org arxiv.org

Motion estimation approaches typically employ sensor fusion techniques, such
as the Kalman Filter, to handle individual sensor failures. More recently, deep
learning-based fusion approaches have been proposed, increasing the performance
and requiring less model-specific implementations. However, current deep fusion
approaches often assume that sensors are synchronised, which is not always
practical, especially for low-cost hardware. To address this limitation, in
this work, we propose AFT-VO, a novel transformer-based sensor fusion
architecture to estimate VO from multiple sensors. Our framework combines …

arxiv asynchronous fusion transformers

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