Precise localization for achieving next-generation autonomous navigation: State-of-the-art, taxonomy and future prospects

Shit, Rathin Chandra

doi:10.1016/j.comcom.2020.06.007

Cited by 15 publications

(4 citation statements)

References 161 publications

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“…Bazując na tych danych, działają algorytmy i systemy odpowiedzialne za jazdę i bezpieczeństwo. Obecnie, stworzenie pojazdu autonomicznego, który mógłby poruszać się w nieznanym terenie przy niesprzyjających warunkach pogodowych (deszcz, śnieg, mgła) wciąż stanowi duże wyzwanie [55,2,36,37,47]. Woda jest w stanie zalegać na obiektywie i zamazywać obraz, a strugi deszczu rozpraszają i wchłaniają światło wiązki lasera [22].…”

Section: Wstępunclassified

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

BRZOZOWSKI¹,

Parczewski²

2021

Projektowanie, Badania I Eksploatacja

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Streszczenie: Celem artykułu jest objaśnienie wpływu niekorzystnych warunków pogodowych na najbardziej popularne sensory wykorzystywane w samochodach autonomicznych. W pracy przedstawiono typowe sensory takie jak: kamera, LiDAR oraz RADAR, a następnie wskazano zakłócenia jakie w ich pracy wywołują niekorzystne warunki pogodowe. Przedstawiono wpływ: deszczu, śniegu oraz mgły. Ponadto omówiono próby zmierzające do ograniczenia tego wpływu. Proponowane działania dotyczą zarówno usprawnień samego sprzętu jak i rozwijania metod analizy obrazu. Podsumowaniem opracowania jest konkluzja, że najlepsze efekty otrzymuje się podczas wykorzystywania różnych sensorów, które mogą się wzajemnie uzupełniać.

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Section: Wstępunclassified

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

BRZOZOWSKI¹,

Parczewski²

2021

Projektowanie, Badania I Eksploatacja

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“…Even the approaches are based on Wi-Fi or Bluetooth Low Energy (BLE) in terms of wireless radio frequency (RF) signal positioning methods [5][6][7]. To consider the cost and complexity of constructing positioning systems with these technologies, it is still impossible to overcome the impact of human body shadowing effects on positioning accuracy and stability [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, it is necessary to consider such factors as the environmental impact of the technologies, costs, ease of development and maturity of the technologies. Therefore, for improving the location accuracy, integrating the multi-sensor information with sensor fusion approaches of positioning systems is a worth-study strategic issue [5,8,9,23,24].…”

Section: Introductionmentioning

confidence: 99%

Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

Yeh

Lai

Tsai

et al. 2022

IET Radar Sonar & Navi

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Location‐based services (LBSs) in such indoor places as museums, airport terminals, and train stations are becoming more and more popular among smartphone users. Hence, the research on indoor positioning technologies is increasing. Indoor positioning technologies using Wi‐Fi or Bluetooth wireless signals have some problems that cannot be overcome, for example, inconsistent data caused by human body shadowing effects. Positioning accuracy and stability still need to be improved to provide higher quality LBS applications. Smartphones have built‐in geomagnetic and acceleration sensors, and the Earth's magnetic field is not affected by human body shadowing effects, so it increases the appeal of using geomagnetism to enable indoor positioning with smartphones. This article proposed approaches in light of calibration‐free fingerprinting positioning techniques with terrestrial magnetism databases for indoor environments. For the differences in measurements yielded by various mobile phone (MP) models and brands, adjustments can be made using the ratio of the total intensity of the magnetic field and its horizontal component to correct the discrepancies. Finally, with the arrangement of four landmarks, the average error distance of the research results in the experimental environment is 3.59 m. The average accuracy of the k‐nearest neighbour (k‐NN) mobile phones is 71.3%.

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“…This study compared several strategies in terms of accuracy, resilience, scalability, complexity, and cost. Finally, Shit [25] examines the impact of precise and accurate localization on autonomous navigation systems, as well as the issues and limits of the related algorithms.…”

Section: Introductionmentioning

confidence: 99%

Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI

Triyono

Prayitno²,

Rahaman³

et al. 2022

JOIV : Int. J. Inform. Visualization

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This study investigates a Wi-Fi-based indoor navigation system to determine building locations. The system was developed using the fingerprint method from the Received Signal Strength Indication (RSSI) of each Access Point (AP). The main components of a smartphone-based system use data from Wi-Fi and the Global Positioning System (GPS). The system developed for navigation is designed and implemented as an element of a dynamic, seamless mobility planning and building location route guidance application. Building map data is collected from Google Map data and enhanced by coloring the geographic location of buildings displayed on mobile devices. Navigational aids collected from sensors provide trip orientation and position updates. The approach of measuring the distance between known positions is compared to those displayed in the application with the haversine formula to measure the accuracy of the position displayed. A series of experiments were conducted in the Politeknik Negeri Semarang area, Indonesia. The experiment results showed that the Wi-Fi-based indoor positioning system was accurate within 7.050 meters of the error for that location, thus proving the system's usefulness for determining the location of buildings in the campus area. The measurement has not adopted the maximum APs placement for signal coverage and strength, only using the existing APs positions. The temperature nor humidity was neither measured in each area where the AP was installed, which is discussed later. This system can help visitors without asking, even though they have only visited once.

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Precise localization for achieving next-generation autonomous navigation: State-of-the-art, taxonomy and future prospects

Cited by 15 publications

References 161 publications

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

Wpływ Niekorzystnych Warunków Atmosferycznych Na Działanie Sensorów Wykorzystywanych W Samochodach Autonomicznych

Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI

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