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

In order to realize intelligent vehicular transport networks and self driving cars, connected autonomous vehicles (CAVs) are required to be able to estimate their position to the nearest centimeter. Traditional positioning in CAVs is realized by using a global navigation satellite system (GNSS) such as global positioning system (GPS) or by fusing weighted location parameters from a GNSS with an inertial navigation systems (INSs). In urban environments where Wi-Fi coverage is ubiquitous and GNSS signals experience signal blockage, multipath or non line-of-sight (NLOS) propagation, enterprise or carrier-grade Wi-Fi networks can be opportunistically used for localization or “fused” with GNSS to improve the localization accuracy and precision. While GNSS-free localization systems are in the literature, a survey of vehicle localization from the perspective of a Wi-Fi anchor/infrastructure is limited. Consequently, this review seeks to investigate recent technological advances relating to positioning techniques between an ego vehicle and a vehicular network infrastructure. Also discussed in this paper is an analysis of the location accuracy, complexity and applicability of surveyed literature with respect to intelligent transportation system requirements for CAVs. It is envisaged that hybrid vehicular localization systems will enable pervasive localization services for CAVs as they travel through urban canyons, dense foliage or multi-story car parks

PNT cyber resilience : a Lab2Live observer based approach, Report 1 : GNSS resilience and identified vulnerabilities. Technical Report 1

The use of global navigation satellite systems (GNSS) such as GPS and Galileo are vital sources of positioning, navigation and timing (PNT) information for vehicles. This information is of critical importance for connected autonomous vehicles (CAVs) due to their dependence on this information for localisation, route planning and situational awareness. A downside to solely relying on GNSS for PNT is that the signal strength arriving from navigation satellites in space is weak and currently there is no authentication included in the civilian GNSS adopted in the automotive industry. This means that cyber-attacks against the GNSS signal via jamming or spoofing are attractive to adversaries due to the potentially high impact they can achieve. This report reviews the vulnerabilities of GNSS services for CAVs (a summary is shown in Figure 1), as well as detection and mitigating techniques, summarises the opinions on PNT cyber testing sourced from a select group of experts, and finishes with a description of the associated lab-based and real-world feasibility study and proposed research methodology

PNT cyber resilience : a Lab2Live observer based approach, Report 2: specifications for cyber testing facilities. Technical report 2

The use of global navigation satellite systems (GNSS) such as GPS and Galileo are vital sources of positioning, navigation and timing (PNT) information for vehicles. This information is of critical importance for connected autonomous vehicles (CAVs) due to their dependence on this information for localisation, route planning and situational awareness. A downside to solely relying on GNSS for PNT is that the signal strength arriving from navigation satellites in space is weak and currently there is no authentication included in the civilian GNSS adopted in the automotive industry. This means that cyber-attacks against the GNSS signal via jamming or spoofing are attractive to adversaries due to the potentially high impact they can achieve. This report introduces specifications and recommendations for GNSS cyber-security test facilities for CAVs. These specifications are based on a survey of academic literature, interviews with a select group of experts, and experiences obtained performing laboratory and real-world testing (shown in Figure 1)

Investigation of the Larvicidal Potential of Silver Nanoparticles against Culex quinquefasciatus

Biosynthesized silver nanoparticles (AgNPs) using Cassia hirsuta aqueous leaf extract were reported in this study. The synthesis was optimized by measuring various parameters such as temperature, time, volume ratio, and concentration. The surface plasmon resonance at 440 nm for 30°C and 420 nm for both 50°C and 70°C measured using the UV-Vis spectrophotometer confirmed the formation of AgNPs synthesized using C. hirsuta (CAgNPs). The functional groups responsible for the reduction and stabilization of the NPs were identified using Fourier Transform Infrared (FTIR). The morphology, size, and elemental composition of the NPs were obtained using scanning electron microscope (SEM), transmission electron microscope (TEM), and energy dispersive X-ray spectroscopy (EDX). X-ray diffractometer was used to identify the phases and crystallinity of CAgNPs. Crystalline spherical NPs with average diameter of 6.9 ± 0.1 nm were successfully synthesized. The thermal analysis of CAgNPs was observed from DSC-TGA. The larvicidal results against the different larva instar stage of Culex quinquefasciatus gave LC50 = 4.43 ppm and LC90 = 8.37 ppm. This is the first study on the synthesis of AgNPs using C. hirsuta and its application against lymphatic filariasis vector. Hence, it is suggested that the C. hirsuta synthesized AgNPs would be environmentally benign in biological control of mosquito

Over-the-air testing for autonomous vehicle communications

The future of transportation lies with the development of connected and automated mobility (CAM) solutions, which include intelligent and self-driving vehicles, with a large research and engineering community investigating and overcoming the technical challenges in their development. Although safest CAM solutions are expected to be autonomous and fully self-supporting, the ability to receive and share information with other vehicles or infrastructure holds promise to lead to advanced environment and traffic awareness as well as cooperative behaviour functions. Fast and reliable wireless communication between vehicles and infrastructure will likely rely on 5G NR and beyond technology, with access to already existing cellular communication infrastructure as well as to newly deployed infrastructure for the higher frequency bands that provide access to larger bandwidths. The work presented here, evaluates the quality of such over-the-air, vehicle-to-infrastructure signals in a mini-urban campus environment for both low and high carrier frequencies, by comparing the results from detailed channel sounding measurements with signal quality parameters such as the error vector magnitude and the established data throughput. This provides insights into the relationships between fundamental parameters used to establish vehicular communication channel models and the quality of service parameters used in vehicular applications and international standards