A survey of machine learning in pedestrian localization systems: Applications, open issues and challenges

VF Mirama, LE Diez, A Bahillo, V Quintero - IEEE Access, 2021 - ieeexplore.ieee.org
With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …

Assistive self-driving car networks to provide safe road ecosystems for disabled road users

J Guerrero-Ibañez, J Contreras-Castillo… - Machines, 2023 - mdpi.com
Disabled pedestrians are among the most vulnerable groups in road traffic. Using
technology to assist this vulnerable group could be instrumental in reducing the mobility …

Subgraph Learning for Topological Geolocalization with Graph Neural Networks

B Zha, A Yilmaz - Sensors, 2023 - mdpi.com
One of the challenges of spatial cognition, such as self-localization and navigation, is to
develop an efficient learning approach capable of mimicking human ability. This paper …

Map-based temporally consistent geolocalization through learning motion trajectories

B Zha, A Yilmaz - 2020 25th International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel trajectory learning method that exploits motion trajectories
on topological map using recurrent neural network for temporally consistent ge-olocalization …

A Comparative Analysis of ANN and RNN Technique for UWB Gaussian Pulse based Indoor Localisation

S Mohanty, A Tripathy - Computing, Communication and …, 2025 - api.taylorfrancis.com
Localisation is the method that is applied in wireless system in order to upgrade the routing
along with build up security. Ultra-wideband (UWB) acts a pivotal role in positioning system …

공공맵데이터를이용한자율주행이동로봇의전역경로계획용지도생성방법에관한연구

김영재, 김세윤, 김홍준 - 대한공간정보학회지, 2022 - dbpia.co.kr
본 논문에서는 자율 이동 로봇의 지도 구축비용을 줄이기 위해 공공지도 서비스를 기반으로 한
토폴로지컬 지도데이터 구축 방법을 제안한다. 자율주행 로봇의 지도 구축비용을 줄이기 위한 …