Pedestrian-Vehicle Collision Avoidance Strategy for NLOS Conditions

Yakusheva, Nadezda; Proletarsky, Andrey; Басараб, М. А.

doi:10.1109/telfor.2018.8612086

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…First, the edge server updates its DB and performs a spatial query to find any VRU within r meters of VEH 1 . The reply to the query is the subset that includes VRU 2 , VRU 3 , and We use the CDA proposed in [23] in our study, although the algorithm is not limited to a specific CDA. If the results of the CDA computations predict a risk between certain VRU and vehicle pairs, the edge server accordingly sends alerts to each user.…”

Section: A Collision Prediction Mechanismmentioning

confidence: 99%

“…In step 2), the CDA execution is iterated on the edge server, specifically between the newly received data and the elements of the subset obtained from the outcome of step 1). Assuming the utilization of CDA from [23], the execution involves several steps with a constant time complexity. These steps include computing the Euclidean distance and relative velocity, estimating the Time to Collision (TTC), and comparing the TTC with the threshold value.…”

Section: A Collision Prediction Mechanismmentioning

confidence: 99%

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A Scalable VRU Protection System Based on Edge Servers

Bang,

Lee,

Ahn

2023

IEEE Access

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Various vulnerable road user (VRU) protection systems have been proposed based on the edge server paradigm to take advantage of the reduced latency as well as computational offloading to servers. In most existing studies, the authors presume that each edge server receives data from its associated users and takes care of the collision risks among them. Because of this presumption, the collision risks between users associated with different edge servers can be overlooked until one of the users at risk crosses the boundary of the server. Therefore, users located at or near the boundary of the edge server domain can receive late alerts or, more seriously, miss the alert entirely until a collision occurs. To address this hazardous scenario, we propose a scalable VRU protection system (SVPS) with an edge server cooperation mechanism. SVPS minimizes additional communication and computational overhead while maintaining satisfactory service accuracy even if users are moving. The numeric results demonstrate that SVPS effectively predicts users' risks associated with different edge servers. Furthermore, SVPS is demonstrated to be scalable: The larger the edge server coverage area, the lower the overhead. Therefore, the coverage area should be set as large as possible while still satisfying latency requirements.

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Section: A Collision Prediction Mechanismmentioning

confidence: 99%

Section: A Collision Prediction Mechanismmentioning

confidence: 99%

A Scalable VRU Protection System Based on Edge Servers

Bang,

Lee,

Ahn

2023

IEEE Access

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“…They considered different thresholds configurations to reduce unnecessary alert generation in the warning system. -Risk level based Algorithm: Instead of only relying on thresholds to determine the collision possibilities, authors of [73,74,75,76] proposed to evaluate the risk level related to the danger area. The risk level depends on several parameters such as the proximity to vehicles, the location (e.g.…”

Section: Collision Detectionmentioning

confidence: 99%

“…For instance, with the 3D localization, the number of false-positive alerts will decrease when VRUs are on a footbridge crossing a road [100]. Inertial Navigation System (INS) data fusion with GPS sensors can significantly improve the vehicle positioning, as proposed in [73]. Authors in [23] developed a smartphone-based collision avoidance system for pedestrians called (WSB) that exploits the smartphones' context information and the user activity to improve the collision detection accuracy and accurately detect the direction of the dynamic movement of the pedestrian.…”

Section: Localization Accuracymentioning

confidence: 99%

5G-enabled V2X communications for vulnerable road users safety applications: a review

2022

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Intelligent Transportation System (ITS) is continuously evolving alongside communication technologies and autonomous driving, giving way to new applications and services. Considering the significant rise in traffic casualties, protecting vulnerable road users (VRU), such as pedestrians, cyclists, motorcycles, animals, etc., has become ever more critical. That said, technological advances alone can not meet the requirements of such crucial applications. Therefore, combining them with architectural revolutions, particularly cloud, fog, and edge computing, is essential. In this review, we scrutinize the VRU safety application with regard to technological evolution. This review establishes the foundations for designing resilient, more reliable, end-to-end VRU protection services. It illustrates the possibility of combining the performance of different technologies through exploiting 5G architectural advantages (function placement, direct/indirect communication, etc.) for the intended application. In the context of 5G architecture, collision avoidance systems consider network and application-related challenges and solutions. This survey provides standardization, studies, and project efforts related to the use case and considers the different types of messages in the V2VRU communication-based safety application. We investigate how adapting the application parameters to the network state and devices' available resources can use network resources efficiently and provide reliable services.

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“…The research in image and video analysis in most cases will try to mimic these processes of bio-inspired behaviour. In our research of pedestrian detection, we combine computer vision and RGB cameras with ITS-G5 technologies to provide road safety context [19][20][21].…”

Section: Computer Vision For Pedestrian Detectionmentioning

confidence: 99%

Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies

et al. 2020

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Human errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific community is developing ITS-G5 applications for various purposes, among which is the increasing of pedestrian safety. This paper describes the developed work to implement an ITS-G5 prototype that aims at the increasing of pedestrian and driver safety in the vicinity of a pedestrian crosswalk by sending ITS-G5 decentralized environmental notification messages (DENM) to the vehicles. These messages are analyzed, and if they are relevant, they are presented to the driver through a car’s onboard infotainment system. This alert allows the driver to take safety precautions to prevent accidents. The implemented prototype was tested in a controlled environment pedestrian crosswalk. The results showed the capacity of the prototype for detecting pedestrians, suitable message sending, the reception and processing on a vehicle onboard unit (OBU) module and its presentation on the car onboard infotainment system.

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Pedestrian-Vehicle Collision Avoidance Strategy for NLOS Conditions

Cited by 7 publications

References 5 publications

A Scalable VRU Protection System Based on Edge Servers

A Scalable VRU Protection System Based on Edge Servers

5G-enabled V2X communications for vulnerable road users safety applications: a review

Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies

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