[PDF][PDF] Deep learning for opponent action prediction in robot soccer middle size league
M Van't Klooster, H Nijmeijer, G Dubbelman - 2018 - research.tue.nl
In this research, we propose deep learning to predict future opponent actions for
autonomous soccer robots and evaluate this in the context of the RoboCup Middle Size …
autonomous soccer robots and evaluate this in the context of the RoboCup Middle Size …
Multi-task oriented participant recruitment for vehicular crowdsensing
W Zong, Z Liu, S Yang, Q Yuan, F Yang - … and Services for Smart Cities: 4th …, 2017 - Springer
As vehicles are equipped with more sensors, there is a growth of potential for vehicles to
contribute to urban crowdsensing. However, participant recruitment, the process that …
contribute to urban crowdsensing. However, participant recruitment, the process that …
Prediction-based Routing Protocol for V2V Communications in Urban Environment
T Van Hung - … Conference on Recent Innovations in Electrical …, 2018 - ieeexplore.ieee.org
In VANET, the routing is a difficult problem due to unpredictable nodes as vehicles
movement and frequent network topology change. Therefore, the most important issue is to …
movement and frequent network topology change. Therefore, the most important issue is to …
Data Substantiation in Mobility
M Ranaweera Kankanamge - 2021 - unsworks.unsw.edu.au
The world is embracing the presence of connected autonomous vehicles which are
expected to play a major role in the future of intelligent transport systems. Given such …
expected to play a major role in the future of intelligent transport systems. Given such …
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction
We investigate the problem of predicting the future location of mobile objects, such as
vehicle, ships, or people, in real-time, with a high degree of accuracy. Our premise is that an …
vehicle, ships, or people, in real-time, with a high degree of accuracy. Our premise is that an …