11 citations · 20 across the 4 of their papers we have counts for
4 papers
EvtSlowTV -- A Large and Diverse Dataset for Event-Based Depth Estimation
Sadiq Layi Macaulay, Nimet Kaygusuz, Simon Hadfield
Event cameras, with their high dynamic range (HDR) and low latency, offer a promising alternative for robust depth estimation in challenging environments. However, many event-based…
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation
Nimet Kaygusuz, Oscar Mendez, Richard Bowden
Motion estimation approaches typically employ sensor fusion techniques, such as the Kalman Filter, to handle individual sensor failures. More recently, deep learning-based fusion a…
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation
Nimet Kaygusuz, Oscar Mendez, Richard Bowden
Visual Odometry (VO) estimation is an important source of information for vehicle state estimation and autonomous driving. Recently, deep learning based approaches have begun to ap…
MDN-VO: Estimating Visual Odometry with Confidence
Nimet Kaygusuz, Oscar Mendez, Richard Bowden
Visual Odometry (VO) is used in many applications including robotics and autonomous systems. However, traditional approaches based on feature matching are computationally expensive…