Vehicle ITS station for C2X communication

Pyykönen, Pasi; Kauvo, Kimmo; Viitanen, Jouko; Eloranta, Pekka

doi:10.1109/iccp.2014.6936997

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Other than the detection methods, another challenge of Lidar sensor is the performance under different weather conditions. In the previous level, the effect of weather conditions on autonomous vehicles was overcome by using the roadside unit with some vehicle-to-everything (V2X) applications ( 7 ). The limitation of relying on this V2X application is the location in the absence of the roadside unit.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions

Tang

Shi

et al. 2020

Transportation Research Record: Journal of the Transportation R

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This paper intends to analyze the Light Detection and Ranging (Lidar) sensor performance on detecting pedestrians under different weather conditions. Lidar sensor is the key sensor in autonomous vehicles, which can provide high-resolution object information. Thus, it is important to analyze the performance of Lidar. This paper involves an autonomous bus operating several pedestrian detection tests in a parking lot at the University at Buffalo. By comparing the pedestrian detection results on rainy days with the results on sunny days, the evidence shows that the rain can cause unstable performance and even failures of Lidar sensors to detect pedestrians in time. After analyzing the test data, three logit models are built to estimate the probability of Lidar detection failure. The rainy weather still plays an important role in affecting Lidar detection performance. Moreover, the distance between a vehicle and a pedestrian, as well as the autonomous vehicle velocity, are also important. This paper can provide a way to improve the Lidar detection performance in autonomous vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions

Tang

Shi

et al. 2020

Transportation Research Record: Journal of the Transportation R

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“…This becomes a far more serious problem when software is created to steer an automated car that needs to be able to adapt to various outdoor conditions, in a manner similar to that of humans [3]. Previously, these types of road weather performance estimation systems have been used in roadside units to support cooperative vehicle-to-road unit (V2X) interaction [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Automotive LIDAR sensor development scenarios for harsh weather conditions

Kutila

Pyykönen

Ritter

et al. 2016

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)

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This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<1000 €) even if more expensive optical and electronic components are needed. The objective of this article is to review the existing automotive laser scanners and their capabilities to pave the way for developing new scanner prototypes, which are more capable in harsh weather conditions. Testing of scanner capabilities has been conducted in the northern part of the Finland, at Sodankylä Airport, where fog creates a special problem. The scanner has been installed in the airport area for data gathering and analyzes if fog, snow or rain are visible in the scanner data. The results indicate that these conditions degrade sensor performance by 25%, and therefore, future work in software module development should take this into account with in-vehicle system performance estimations concerning the visual range of the scanner. This allows the vehicle to adapt speed, braking distance and stability control systems accordingly

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“…her/his psycho-physiological characteristics, her/his condition, her/his experience. Acceleration at uniform idle speed depends strongly on the quality of the braking system and the road surface [21]. Thus, still according to ISO611:2003(en) [20], on dry surfaces and drum brakes, it is 6 m /s².…”

Section: Fig 1 Notification Distancementioning

confidence: 99%

Optimal Broadcasting Algorithm for VANET System

Ennaciri

Erritali

Cherkaoui

et al. 2021

Lecture Notes in Computer Science

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New and innovative approaches are expected to improve road safety and prevent road traffic incidents, based on the exchange of information between vehicles. Our aim is to respond to the need for rapid and reliable exchange of messages containing information on the state of vehicles. For this purpose, we propose an algorithm that prioritize the broadcasting of emergency messages and privilege long-distance communication so as to speed up the dissemination of warning messages without saturating the VANET.

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Vehicle ITS station for C2X communication

Cited by 3 publications

References 4 publications

Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions

Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions

Automotive LIDAR sensor development scenarios for harsh weather conditions

Optimal Broadcasting Algorithm for VANET System

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