Integrated cooperative localization for Vehicular networks with partial GPS access in Urban Canyons

Elazab, Mariam; Noureldin, Aboelmagd; Hassanein, Hossam S.

doi:10.1016/j.vehcom.2016.11.011

Cited by 39 publications

(26 citation statements)

References 15 publications

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“…Simulated vehicular mobility traces were used in [60] to evaluate a cooperative location sensor fusion algorithm. The proposed scheme adopted a reduced inertial sensor system (RISS) and RTT for radio ranging between cooperating vehicles.…”

Section: V2v Basedmentioning

confidence: 99%

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

Adegoke

Zidane

Kampert

et al. 2019

Vehicular Communications

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Section: V2v Basedmentioning

confidence: 99%

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

Adegoke

Zidane

Kampert

et al. 2019

Vehicular Communications

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“…According to Elazab et al, 29 vehicles equipped with GPS use this information to calculate their location. The imprecision of GPS devices, however small, influences the results of routing protocols that use location information for decision-making.…”

Section: Locationmentioning

confidence: 99%

A collaborative routing protocol for video streaming with fog computing in vehicular ad hoc networks

Bezerra

Pessoa

Douglas

et al. 2019

International Journal of Distributed Sensor Networks

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Vehicular ad hoc networks play an important role in the efficiency of road traffic by improving safety and acting as a facilitator of services for passengers, drivers, and public safety officers. Recent improvements in the routing protocols and topologies used in vehicular networks have contributed to improvements in scalability, reliability, and the quality of the information-sharing experience. Vehicles can cooperate with each other to stream videos of accidents or disasters and provide visual information of the monitored area with great precision. This article proposes a collaborative routing protocol for video streaming vehicular ad hoc networks using the service of fog storage to minimize the sharing of content. The routing table is based on an indicator that is generated by combining the speed, location, and recording angle parameters of each vehicle involved in vehicular collaboration to reduce the unnecessary exchange of video data in vehicleto-vehicle communications. The results of the simulations show that the proposed model performs favorably when compared with other routing protocols with respect to the availability of end-to-end communication.

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“…By exchanging the information, the sensor measurements from surrounding vehicles can be cooperated to aid the localization of all the participating vehicles [4,5]. The V2V based cooperative localization can be categorized into transponder-based approach (using RSSI or TDOA), GNSSbased approach and multiple integrated approach [6][7][8]. A comprehensive review of V2V based cooperative positioning can be found at [9].…”

Section: Introductionmentioning

confidence: 99%

“…Since V2V communication enables exchanging the GNSS raw measurement of the surrounding vehicles, double difference (DD) technique can be applied to eliminate both systematic errors and receiver clock bias [13]. Different cooperative localization approaches are also being developed to optimize the localization accuracy by available shared measurements, such as weighted cooperation [8], least square approach [14] and hypothesis based probability density filter [15]. Moreover, extra constraints from prior knowledge [16], vehicular motion model [17] or map matching [18] is employed within the cooperative localization to enhance the positioning accuracy.…”

Section: Introductionmentioning

confidence: 99%

A novel GNSS based V2V cooperative localization to exclude multipath effect using consistency checks

Zhang

Wen

Hsu

2018

2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

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Global Navigation Satellite System (GNSS) is essential for autonomous driving by providing absolute positioning solutions. However, the performance of GNSS measurement is significantly degraded in urban areas, due to the severe multipath and non-line-of-sight (NLOS) effects. To ensure the operation safety of autonomous driving applications, the GNSS localization performance is required to improve. In this study, a novel vehicle-to-vehicle (V2V) based cooperative localization algorithm with double-layers of consistency check (CC) is developed. GNSS pseudorange measurements of the ego-vehicle and surrounding vehicles conduct the first-layer of CC independently to exclude the multipath-biased measurement and obtaining their absolute positions. Then, the survived GNSS measurement and the absolute positions of each vehicles are shared in between, and further applied with double difference (DD) technique to obtain an accurate relative position between the surrounding vehicles. The second-layer CC is conducted during the GNSS DD-based relative positioning, to exclude the multipath and NLOS effects more comprehensively. Finally, the absolute and relative positions of surrounding vehicles are cooperated to optimize the final position of all participating vehicles. By the both simulation and real experimental results, the proposed algorithm is able to mitigate the multipath effect and significantly improve the accuracy of GNSS localization solutions to fulfill the safety requirements for autonomous driving.

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Integrated cooperative localization for Vehicular networks with partial GPS access in Urban Canyons

Cited by 39 publications

References 15 publications

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

A collaborative routing protocol for video streaming with fog computing in vehicular ad hoc networks

A novel GNSS based V2V cooperative localization to exclude multipath effect using consistency checks

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