A reliable environment perception is a crucial task for autonomous driving, especially in dense traffic areas. Recent improvements and breakthroughs scene understanding intelligent transportation systems are mainly based on deep learning the fusion of different modalities. In this context, we introduce OLIMP: heterOgeneous Multimodal Dataset Advanced EnvIronMent Perception. This first public, multimodal synchronized dataset that includes UWB radar data, acoustic narrow-band data images....

Vehicular ad hoc networks allow vehicles to share their information for the safety and efficiency of traffic purposes. However, sharing can threaten driver’s privacy as it includes spatiotemporal information, messages are unencrypted broadcasted periodically. Therefore, they cannot estimate level because also depends on surroundings. This article proposes a centralized adaptive pseudonym change scheme that permits certificate’s authority adjust pseudonyms assignment each requesting vehicle....

Despite the decisive contribution of intelligent transport systems in road safety, they also open new vulnerabilities to cyber-attacks, particularly vehicle position-linked attacks. For that reason, centralized are becoming increasingly vulnerable growth connected-vehicle fleets as it becomes more challenging revoke certificates real-time. We have proposed a method integrates decentralized, collaborative system meet these challenges. This efficiently allows Blockchain integration for...

Vehicular communications have become essential for functional and road safety purposes due to the development of vehicle fleets. However, these made vehicles more vulnerable cyber-attacks. The security data exchanges in vehicular networks currently relies on a centralized architecture that is responsible managing various services such as authentication, confidentiality, non-repudiation, real-time misbehavior detection, certificate management revocation. this approach can be challenging...

Application-specific programmable processors are increasingly being replaced by FPGAs, which offer high levels of logic density, rich sets embedded hardware blocks, and a degree customizability reconfigurability. New FPGA features such as Dynamic Partial Reconfiguration (DPR) can be leveraged to reduce resource utilization power consumption while still providing performance. In this paper, we describe our implementation dynamically reconfigurable multiple-target tracking (MTT) module for an...

Wireless Sensor Network (WSN) is a collection of small sensor nodes with aptitude to sense, compute and transmit data that are deployed observe physical environment. The node has limited capabilities, especially for energy reserve memory storage, why topology routing protocols should be defined good network's performances. In this paper, we focus on Zigbee networks based IEEE 802.15.4 standard which improve the control by proposing an efficient clustering Minimum Spanning Tree (MST). fact,...

With the growth of embedded components (GPS, radar, cameras...), road vehicle becomes more and intelligent reassuring. The concept is to make it able analyze, individually independently, external data before transmitting them driver. In recent years, ideas for studies research programs on this have proliferated in different environments. cars now tools control speed, manage traffic ensure avoidance collision task. A that allows detect obstacles environment alert driver, one very powerful...

Cooperative intelligent transportation system (C-ITS) applications are generally susceptible to position spoofing-dependent attacks such as Sybil and DDoS due a lack of established solutions. This paper presents novel cyber-physical blockchain cryptographic architecture help prevent spoofing attackers from becoming validated nodes in C-ITS applications. The solution also guarantees security requirements including the non-trivial non-repudiation light these other attacks. With use case...

The concept of the intelligent car consists in equipping vehicle with an optimum number sensors such as radar, order to perceive environment which surrounds it, ensure automatic guidance control and communicate external medium. In this paper, we propose exploit UWB technology for road radar applications, profit from its inherent advantages (good range resolution, low power consumption, price etc.). All exiting studies on concerns essentially medical military applications. originality is...

In wireless sensor networks, building energy-efficient systems is one of the major challenges. such nodes are usually supplied by low power and small batteries. Many factors involved in energy consumption, this issue may be considered as a cross-layer problem, from hardware architecture to application layer. This paper aims at presenting hybrid solution for networks based on two main aspects. The first architecture, where we present prototype node designed. proved its efficiency terms...

This study proposes an original ultra‐wideband short‐range radar (UWB‐SRR) recognition system based on higher‐order statistics (HOS) and support vector machines (SVMs). The main purpose of this work is to improve the road safety by implementing these techniques for detection uncovered users such as pedestrians cyclists. combination HOS cell‐averaging constant false alarm rate (CA‐CFAR) detector has been proposed investigated. results show that a CA‐CFAR promises good performance UWB...

Consumption habits are changing due to the development of new technologies around renewable energy, environmental awareness, and incentive policies. Smart grids seen as an effective way accommodate more achieve better control demand, improve operating conditions electrical system. However, electric vehicles, which environmentally friendly alternative, have very high market penetration require efficient management at charging stations. Among factors that a significant impact on energy...

The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus particles in ambient waters using a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) method can play an important role large-scale environmental surveillance for early warning potential outbreaks. However, counting or cells fluorescence microscopy is expensive, time-consuming, tedious task that only highly trained technicians researchers perform. Although such objects...

Driver's facial expression recognition plays a critical role in enhancing driver safety, comfort, and overall driving experience by proactively mitigating potential road risks. While most existing works this domain rely on CNN - based approaches, paper proposes novel method for using Global Context Vision Transformer (DFER-GCViT). With its inherent capabilities of transformer-based architectures global context modeling, the proposed handles challenges commonly encountered real-world...

The work presented in this paper aims at investigating the ability of acoustic noise correlation technique for railway infrastructure health monitoring. principle is based on impulse responses reconstruction by random propagated medium. Since wheel-rail interaction constitutes a source such noise, could be convenient detection rail defects using only passive sensors. Experiments have been carried out 2 m-long sample. Acoustic generated sample several positions. Direct comparison between an...

Wireless technology for communication, represents a permanent and evolutionary need in transport field, motivated by the improvement of efficiency safety transports.

Intelligent transport system (ITS) exploits new communication and information technologies to make existing infrastructures more effective reliable, it resets on functions associated with the intelligence. The use of ultra-wideband (UWB) appears as a very suitable technology for this kind applications, due its large bandwidth, resistance interferences other radio systems also quality offered service. In paper, dedicated domain [5], based UWB is presented. implementation modulation M-OAM...

Electric vehicles (EVs) are one of the encouraging solutions to improve energy efficiency and reduce carbon emissions in transportation sector. Today, electric have experienced massive growth that has brought multiple benefits sectors, but they can also affect stability smart grid, consuming more energy, especially during peak hours. In such deployments, optimal distribution among most important constraints be considered, meet demand vehicle. Indeed, traffic conditions an impact on...