8 citations · 13 across the 7 of their papers we have counts for
9 papers
ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences
Hansi Liu, Kristin Dana, Marco Gruteser +1
In Smart City and Vehicle-to-Everything (V2X) systems, acquiring pedestrians' accurate locations is crucial to traffic safety. Current systems adopt cameras and wireless sensors to…
Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach
Yun Chen, Joan Palacios, Nuria González-Prelcic +2
High resolution compressive channel estimation provides information for vehicle localization when a hybrid mmWave MIMO system is considered. Complexity and memory requirements can,…
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao, Brian Reily, Rui Guo +3
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with r…
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer +4
We compare the potential of neural network (NN)-based channel estimation with classical linear minimum mean square error (LMMSE)-based estimators, also known as Wiener filtering. F…
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti +3
The recent advancement in computational and communication systems has led to the introduction of high-performing neural networks and high-speed wireless vehicular communication net…
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization
Peng Gao, Rui Guo, Hongsheng Lu +1
Collaborative object localization aims to collaboratively estimate locations of objects observed from multiple views or perspectives, which is a critical ability for multi-agent sy…