Vehicle localization during GPS outages with extended Kalman filter and deep learning
J Liu, G Guo - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Integration of microelectromechanical system-based inertial navigation system (MEMS-INS)
and global positioning system (GPS) is a promising approach to vehicle localization …
and global positioning system (GPS) is a promising approach to vehicle localization …
A bibliometric analysis and review on reinforcement learning for transportation applications
Transportation is the backbone of the economy and urban development. Improving the
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
From driving trajectories to driving paths: a survey on map-matching algorithms
With the widespread deployment of built-in Global Positioning System (GPS) devices,
numerous volumes of driving trajectories can be recorded conveniently. Affected by GPS …
numerous volumes of driving trajectories can be recorded conveniently. Affected by GPS …
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
[HTML][HTML] Wifi access points line-of-sight detection for indoor positioning using the signal round trip time
X Feng, KA Nguyen, Z Luo - Remote Sensing, 2022 - mdpi.com
The emerging WiFi Round Trip Time measured by the IEEE 802.11 mc standard promised
sub-meter-level accuracy for WiFi-based indoor positioning systems, under the assumption …
sub-meter-level accuracy for WiFi-based indoor positioning systems, under the assumption …
Predicting risky driving in a connected vehicle environment
In this paper we propose an unsupervised learning framework to predict risky driving at
intersections in a connected vehicle environment. The proposed framework uses time series …
intersections in a connected vehicle environment. The proposed framework uses time series …
L2mm: learning to map matching with deep models for low-quality gps trajectory data
Map matching is a fundamental research topic with the objective of aligning GPS trajectories
to paths on the road network. However, existing models fail to achieve satisfactory …
to paths on the road network. However, existing models fail to achieve satisfactory …
Trajectory-robust rfid relative localization based on phase profile correlation
Indoor localization systems based on radio frequency identification (RFID) technologies are
widely adopted in the Internet of Things (IoT). Many of these applications prefer to obtain the …
widely adopted in the Internet of Things (IoT). Many of these applications prefer to obtain the …
Opportunistic uav deployment for intelligent on-demand iov service management
H Sami, R Saado, A El Saoudi… - … on Network and …, 2023 - ieeexplore.ieee.org
Due to the current improvement in self-driving cars and the extensive focus and research on
the topic of the Internet of Vehicles (IoV), the near future may behold a great revolution in the …
the topic of the Internet of Vehicles (IoV), the near future may behold a great revolution in the …
Location-based robust beamforming design for cellular-enabled UAV communications
Cellular communications have been regarded as promising approaches to deliver high-
broadband communication links for unmanned aerial vehicles (UAVs), which have been …
broadband communication links for unmanned aerial vehicles (UAVs), which have been …