Research on black-and-white image processing method of smart car camera

In view of the images collection and processing problems of the smart car camera, the paper introduces a method which deals with field and line synchronization signal separation and binarization processing of the video signal collected from track fields, and which is capable to extract and position black border trajectory images effectively. According to the experiment results of the method, the camera images can be collected and processed effectively, and the accurate image information can be provided for the smart cars to travel along the track. The method has the advantages of being easy to use, strong adaptability, ideal performance and high practical value. On the basis of advantages the method is of high practical value in smart car races.

Context-aware smart car: from model to prototype

Smart cars are promising application domain for ubiquitous computing. Context-awareness is the key feature of a smart car for safer and easier driving. Despite many industrial innovations and academic progresses have been made, we find a lack of fully context-aware smart cars. This study presents a general architecture of smart cars from the viewpoint of context- awareness. A hierarchical context model is proposed for description of the complex driving environment. A smart car prototype including software platform and hardware infrastructures is built to provide the running environment for the context model and applications. Two performance metrics were evaluated: accuracy of the context situation recognition and efficiency of the smart car. The whole response time of context situation recognition is nearly 1.4 s for one person, which is acceptable for non-time critical applications in a smart car.

An Optimal Charging/Discharging Strategy for Smart Electrical Car Parks

This paper presents a smart electrical car park model where the power flows among electrical vehicles(EVs)as well as between EVs and the main grid.Based on this model,an optimal charging/discharging scheme is proposed.The fluctuation of hourly electricity rates is considered in this strategy to select a proper charging/discharging rate for each EV with less expenditure during each charging period.The proposed smart electrical car park is able to buy or sell electricity in the form of active and/or reactive power,i.e.kWh and/or kVARh,from or to the main grid to improve the power quality.According to the current state of charge of the EV’s battery bank,customers and the grid demands,a control center makes the decisions and sends the instructions of specific charging/discharging mode to each charging station.The performance of the proposed charging/discharging algorithm is simulated in Matlab.A comparison between the proposed and the unregulated charging/discharging strategies has been implemented.The results demonstrate that the proposed scheme can achieve better economic profits for EV customers and increase the commercial benefits for the car park owner.

DATA REGULATION IN THE INTERNET OF THINGS

The reflections on data regulation in the internet of things （IoT） in this paper provide an overview of the different conceptions and legal problems of ＂data property rights.＂ Beginning with an overview of the existing and possible applications of the future loT （in particular, smart cars）, this paper describes the legal concerns that may arise because of increased commercialization of object-generated data. The author uses German and European Union law to illustrate the legal complexities, solutions, and shortcomings. He demonstrates how and to what extent these issues are covered by traditional data protection regulations and highlights the conceptual blind spots of these regulations. He then contrasts the data protection paradigm （de lege lata） with the idea of a general erga omnes data property right （de lege ferenda） and describes the most common understanding of such a right, that is, a data producers＇ property right. Against the background of the possible economic advantages of general data property rights, the paper discusses conceptual problems and constitutional concerns. In conclusion, the author rejects the idea of a general data property right.