Zobrazeno 1 - 5
of 5
pro vyhledávání: '"covariance-based triggering"'
Autor:
Santos, Carlos1 carlos.santos@uah.es, Martínez-Rey, Miguel1 miguel.martinez@depeca.uah.es, Espinosa, Felipe1 felipe.espinosa@uah.es, Gardel, Alfredo1 alfredo.gardel@uah.es, Santiso, Enrique1 enrique.santiso@uah.es
Publikováno v:
Sensors (14248220). Sep2017, Vol. 17 Issue 9, p2034. 20p.
Publikováno v:
Sensors, Vol 17, Iss 9, p 2034 (2017)
This paper describes the theoretical and practical foundations for remote control of a mobile robot for nonlinear trajectory tracking using an external localisation sensor. It constitutes a classical networked control system, whereby event-based tech
Externí odkaz:
https://doaj.org/article/728d88d43e4046a0b8e0009266d0e4e9
Publikováno v:
Sensors, Vol 17, Iss 9, p 2034 (2017)
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 9; Pages: 2034
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 9; Pages: 2034
This paper describes the theoretical and practical foundations for remote control of a mobile robot for nonlinear trajectory tracking using an external localisation sensor. It constitutes a classical networked control system, whereby event-based tech
Autor:
Efe, Onur, Ozakin, Arkadas
While modern deep learning methods have shown great promise in the problem of earthquake detection, the most successful methods so far have been based on supervised learning, which requires large datasets with ground-truth labels. The curation of suc
Externí odkaz:
http://arxiv.org/abs/2407.18402
Publikováno v:
SoCPaR
Long-term tracking is an expanding field with applications in logistics, ecology and wearable computing. The main challenge for longevity of tracking applications is the high energy consumption of GPS, which has been addressed by using low power sens