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The aim of this paper is threefold: first, to review the technological state of the art on tire sensor systems; second, to summarize basic methodologies and explore the potential of tire sensing for intelligent vehicle developments and third, to address challenges in the development of tire sensing systems and inspire future research in this field.

Nowadays, automotive industry is moving toward an intelligent and autonomous driving era with the assistance of sensing technology development, whereas tire-road conditions sensing and utilization are of great interest from the point of view of vehicle dynamics control, vehicle safety and vehicle performance evaluation.

Tire sensing is an emerging technology whereby sensor systems are installed on the tire to provide fundamental insights into tire-road interactions for ground vehicles and wheel robots. In the past two decades, tire sensing systems based on various sensor types have been proposed to offer the possibility to investigate tire-road interactions.

Instrumenting the tire with sensors, especially accelerometers and optical sensors, can sense the tire-road interactions and enhance the vehicle performance. The harsh environment inside tire cavity requires reliable, accurate, low weight, modularized and inexpensive sensors. Challenges, such as the data transmission, power management, lack of physics-based tire models need to be solved before the tire sensor becomes commercially viable for production vehicles.

The vehicle sideslip angle is an important state of vehicle lateral dynamics and its knowledge is crucial for the successful implementation of advanced driver-assistance systems. Measuring the vehicle sideslip angle on a production vehicle is challenging because of the exorbitant price of a physical sensor. This paper aims to present a novel framework for virtually sensing/estimating the vehicle sideslip angle. The desired level of accuracy for the estimator is to be within +/− 0.2 degree of the actual sideslip angle of the vehicle. This will make the precision of the proposed estimator at par with expensive commercially available sensors used for physically measuring the vehicle sideslip angle.

The proposed estimator uses an adaptive tire model in conjunction with a model-based observer. The performance of the estimator is evaluated through experimental tests on a rear-wheel drive vehicle.

Detailed experimental results show that the developed system can reliably estimate the vehicle sideslip angle during both steady state and transient maneuvers, within the desired accuracy levels.

This paper presents a novel framework for vehicle sideslip angle estimation. The presented framework combines an adaptive tire model, an unscented Kalman filter-based axle force observer and data from tire mounted sensors. Tire model adaptation is achieved by making extensions to the magic formula, by accounting for variations in the tire inflation pressure, load, tread-depth and temperature. Predictions with the adapted tire model were validated by running experiments on the Flat-Trac® machine. The benefits of using an adaptive tire model for sideslip angle estimation are demonstrated through experimental tests. The performance of the observer is satisfactory, in both transient and steady state maneuvers. Future work will focus on measuring tire slip angle and road friction information using tire mounted sensors and using that information to further enhance the robustness of the vehicle sideslip angle observer.

The paper aims to present an innovative method for imaging the pressure distribution between two interface surfaces. The physical principles behind the design of the pressure imaging system are explained, and some case studies involving the use of this technology in diverse applications are described.

The XSENSOR pressure sensor is comprised of a matrix of capacitive sensing elements. Pressure applied to the surface of the sensing element causes a change in capacitance that is correlated to a change in pressure. Proprietary Windows based software compensates for sensor non‐linearity, hysteresis, and creep over time, resulting in enhanced accuracy.

XSENSOR's capacitive based pressure imaging sensors can graphically display pressure distributions in real time between virtually any two surfaces in contact. The sensor element is accurate, thin, flexible, and robust. These physical characteristics minimize any artificial influences created by the presence of the sensor during data collection.

Pressure imaging technology can be used in industrial and engineering environments for product design and verification, process control, or quality assurance.

This paper will be useful to the engineer or business manager interested in applying sensor technology to solve engineering or design problems.

The past decade has witnessed a growing interest in vehicular networking and its myriad applications. The initial view of practitioners and researchers was that radio‐equipped vehicles can keep the drivers informed about potential safety risks and can enhance their awareness of road conditions and traffic‐related events. This conceptual paper seeks to put forth a novel vision, namely that advances in vehicular networks, embedded devices, and cloud computing can be used to set up what are known as vehicular clouds (VCs).

The paper suggests that VCs are technologically feasible and that they are likely to have a significant societal impact.

The paper argues that at least in some of its manifestations, the ideas behind VCs are eminently implementable under present day technology. It is also expected that, once adopted and championed by municipalities and third‐party infrastructure providers, VCs will redefine the way in which pervasive computing and its myriad applications is thought of.

This is a new concept for which a small‐scale prototype is being built. No large‐scale prototype exists at the moment.

VCs are a novel concept motivated by the realization of the fact that, most of the time, the tremendous amount of computing and communication resources available in vehicles is underutilized. Putting these resources to work in a meaningful way should have a significant societal impact.

The main goal of this paper is to introduce and promote the concept of VCs, a non‐trivial extension, along several dimensions, of the by‐now “classic” cloud computing. The paper shows that the concept of VCs is feasible as of today – at least in some of its manifestations – and that it can have a significant societal impact in the years to come.

The idea of a VC is novel and so are the potential applications that are discussed in the paper.

Describes the progress made to date in testing and developing a system to monitor the environment within a commercial vehicle’s tyre ‐ its temperature and pressure ‐ by means of a radio link to a single central receiver inside the vehicle. Discusses the economic and safety implications of maintaining the correct pressure in vehicle tyres and reports that reactions from commercial vehicle suppliers have been positive.

At the start of a new year, Stephen McClelland gives a personal opinion on the most interesting sensor technologies to have emerged recently.