Localization for intelligent vehicles in underground car parks based on semantic information
Y Li, F Feng, Y Cai, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Global navigation satellite system (GNSS) signals cannot be received indoors, thus to
deploy intelligent vehicles in underground car parks other localization methods are needed …
deploy intelligent vehicles in underground car parks other localization methods are needed …
A Survey of Vehicle Localization: Performance Analysis and Challenges
X Shan, A Cabani, H Chafouk - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicle localization plays a crucial role in ensuring the safe operation of autonomous
vehicles and the development of intelligent transportation systems (ITS). However, there is …
vehicles and the development of intelligent transportation systems (ITS). However, there is …
A sequential-multi-decision scheme for WiFi localization using vision-based refinement
C Tang, W Sun, X Zhang, J Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, most mobile devices have WIFI and camera modules to locate their position.
However, there are two main challenges in large, highly similar indoor environments …
However, there are two main challenges in large, highly similar indoor environments …
LRF-WIVI: A WiFi and visual indoor localization method based on low-rank fusion
W Liu, C Qin, Z Deng, H Jiang - Sensors, 2022 - mdpi.com
In this paper, a WiFi and visual fingerprint localization model based on low-rank fusion (LRF-
WiVi) is proposed, which makes full use of the complementarity of heterogeneous signals by …
WiVi) is proposed, which makes full use of the complementarity of heterogeneous signals by …
Double-Layer Soft Data Fusion for Indoor Robot WiFi-Visual Localization
This paper presents a novel WiFi-Visual data fusion method for indoor robot (TIAGO++)
localization. This method can use 10 WiFi samples and 4 low-resolution images ($58\times …
localization. This method can use 10 WiFi samples and 4 low-resolution images ($58\times …
Correction-Dead Reckoning using Map Matching Information in an Underground Parking Lot
MH Seo, J Kim, S Park, D Suh - Journal of Positioning, Navigation …, 2023 - koreascience.kr
In this paper, we propose a Correction Dead Reckoning (CDR) solution using correction
information such as Map Matching FeedBack (MMFB) in an underground parking lot. In …
information such as Map Matching FeedBack (MMFB) in an underground parking lot. In …