2 citations · 2 across the 2 of their papers we have counts for
4 papers
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
Delei Kong, Zheng Fang, Haojia Li +3
Traditional visual place recognition (VPR) methods generally use frame-based cameras, which is easy to fail due to dramatic illumination changes or fast motions. In this paper, we…
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Yanmin Wu, Yunzhou Zhang, Delong Zhu +3
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this work, w…
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys, Daniel Neil, Federico Corradi +7
Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. Conventional vision CNNs are driven by camera frames at…
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
Diederik Paul Moeys, Federico Corradi, Emmett Kerr +5
This paper describes the application of a Convolutional Neural Network (CNN) in the context of a predator/prey scenario. The CNN is trained and run on data from a Dynamic and Activ…