A Cellular-Modem-Hosted Low-Cost Single-Shot Dual-Mode Assisted-GNSS Receiver for the Internet of Things

Korb, Matthias; Huang, Qiuting; Stockel, Philipp; Kappen, Goetz C.; Weber, Benjamin; García, Miguel

doi:10.1109/plans46316.2020.9110212

Cited by 3 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traffic congestion is one of the important problems being addressed by smart c Pseudolite-based location services can provide precise location information for all From specific experimental scenarios, concise solutions for the practical needs of users for integrated indoor and outdoor navigation should be highlighted more often. The solution to these issues will help pseudolites move toward engineering applications to become the underlying technology of the IoT [190][191][192], as well as to serve the construction of new national data. Even further, as shown in Figure 8, in the future of unmanned driving, pseudolites could provide urban canyon navigation and underground garage location services and could also offer human-vehicle interconnection with the GNSS as the datum [193].…”

Section: Intelligent Transportationmentioning

confidence: 99%

Pseudolites to Support Location Services in Smart Cities: Review and Prospects

Liu,

Wang

et al. 2023

Smart Cities

View full text Add to dashboard Cite

The location service is an important part of the smart city. A unified location service for outdoor and indoor/overground and underground activity will assist the construction of smart cities. However, with different coordinate systems and data formats, it is difficult to unify various positioning technologies on the same basis. Global navigation satellite system (GNSS)-based positioning is the only way to provide absolute location under the Earth-centered, Earth-fixed coordinate system (ECEF). Increasing indoor and underground human activity places significant demand on location-based services but no GNSS signals are available there. Fortunately, a type of satellite that is indoors, known as pseudolite, can transmit GNSS-like ranging signals. Users can obtain their position by receiving ranging signals and their resection without adding or switching other sensors when they go from outdoors to indoors. To complete the outreach of the GNSS indoors and underground to support the smart city, how to adapt the pseudolite design and unify coordinate frames for linking to the GNSS remain to be determined. In this regard, we provide an overview of the history of the research and application of pseudolites, the research progress from both the system side and the user side, and the plans for pseudolite-based location services in smart cities.

show abstract

Section: Intelligent Transportationmentioning

confidence: 99%

Pseudolites to Support Location Services in Smart Cities: Review and Prospects

Liu,

Wang

et al. 2023

Smart Cities

View full text Add to dashboard Cite

show abstract

“…In fact, thanks to the perception algorithm of the surrounding vehicles, vehicle communication allows gathering localization information that can be used to either improve the ego-vehicle state estimation when GPS is not accurate [ 27 ] or to fill the gap in case the GPS signal is missing for long periods [ 28 ]. Another approach investigated in the literature in the last decades is the use of Assisted-GPS (A-GPS) systems which exploit the terrestrial communication link to determine the current location [ 29 ]. This type of localization is typically employed on cell phones to avoid decoding the GPS messages for each satellite observed, thus using a remote server [ 30 ].…”

Section: State Of the Artmentioning

confidence: 99%

Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios

Vignarca

Arrigoni

Sabbioni

2023

Sensors

View full text Add to dashboard Cite

The recent advancements in Intelligent Transportation Systems (ITS) have revealed significant potential for enhancing traffic management through Advanced Driver Assist Systems (ADASs), with benefits for both safety and environment. This research paper proposes a vehicle localization technique based on Kalman filtering, as accurate positioning of the ego-vehicle is essential for the proper functioning of the Traffic Light Advisor (TLA) system. The aim of the TLA is to calculate the most suitable speed to safely reach and pass the first traffic light in front of the vehicle and subsequently keep that velocity constant to overcome the following traffic light, thus allowing safer and more efficient driving practices, thereby reducing safety risks, and minimizing energy consumption. To overcome Global Positioning Systems (GPS) limitations encountered in urban scenarios, a multi-rate sensor fusion approach based on the Kalman filter with map matching and a simple kinematic one-dimensional model is proposed. The experimental results demonstrate an estimation error below 0.5 m on urban roads with GPS signal loss areas, making it suitable for TLA application. The experimental validation of the Traffic Light Advisor system confirmed the expected benefits with a 40% decrease in energy consumption compared to unassisted driving.

show abstract