Sensor-Based Environmental Perception is a methodological framework within environmental perception that relies on data acquired from physical sensors to interpret and model surrounding environments, distinguished by its dependence on real-time, instrument-mediated sensory inputs rather than human observational or cognitive constructs.
17
Publications
346
Citations
56
Authors
27
Institutions
Publications per year
2017–2026
6
Parents
Publications
17
V2X Applications Using Collaborative Perception
Radovan Miucic, Ashish Sheikh, Željko Medenica et al. · 2018 · 29 citations
1–5 of 17
Authors
56
- YS
1
h-index
- SB
1
h-index
- RM
1
h-index
- JY
1
h-index
- DC
1
h-index
1–5 of 56
Institutions
27
University College London
London, United Kingdom
2 h-index
4 publications
68 citations
Saga University
Saga, Japan
1 h-index
2 publications
38 citations
Langley Research Center
Hampton, United States
1 h-index
1 publications
23 citations
Ji Hua Laboratory
Foshan, China
1 h-index
1 publications
10 citations
West Virginia University
Morgantown, United States
1 h-index
1 publications
23 citations
Western University
London, Canada
1 h-index
1 publications
22 citations
Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
20 citations
Consorzio Nazionale Interuniversitario per le Telecomunicazioni
Parma, Italy
1 h-index
3 publications
48 citations
1–8 of 27
Venues
- Sensors
3 publications · 41 citations
3
h-index
- Assembly Automation
1 publications · 10 citations
1
h-index
- Data Mining and Knowledge Discovery
1 publications · 25 citations
1
h-index
- Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
1 publications · 29 citations
1
h-index
- Energy and Buildings
1 publications · 51 citations
1
h-index
1–5