Mole Robot (MolBot): Development of Pipe Damage Detector Robot.

To get an improved image or to obtain any useful information from it, image processing is a method of implementing any operations on an image. In the method of classifying and detection of images, this process mainly contributes to the innovation of technology. The implementation of image processing in robots had been used in earlier but with different uses. Using FPV Camera 720p OIN in the projects lets it transmits live video streaming to any device attached to it. This paper shows the robustness of image processing as it detects defects on pipes. Covering the inner external part of the pipe, the robot can pass through inside the pipe. With the accuracy of 67%, the project will be tested in different pipes and drainages for the application

A systematic review of proactive driver support systems and underlying technologies

Recently, there has been an incredible growth of recommender systems as well as proactive, context-oriented technologies, based on cloud services, ubiquitous computing and service-oriented architecture. This composition of techniques and technologies has made it possible to create intelligent support systems in areas with rapidly changing environment, like car driving. However, such systems are not yet widespread, and available prototypes, in most cases, are only useful for research trials, so their development remains an important issue. Thereby, this paper reviews the existing body of literature on recommender systems and related technologies in order to carry out their systematic analysis and draw the appropriate conclusions on the prospects for their development

Motorcycle detection for ADAS through camera and V2V communication, a comparative analysis of two modern technologies

Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in others, due to the inherent vulnerability of motorcycle drivers. The latest strategies in Advanced Driving Assistance Systems (ADAS) are trying to mitigate this problem by applying the advances of modern technologies to the road transport. This paper presents two different approaches on motorcycle protection, based on two of the most modern available technologies in ADAS, i.e. Computer Vision and Vehicle to Vehicle Communication (V2V). The first approach is based on data fusion of Laser Scanner and Computer Vision, providing accurate obstacle detection and localization based on laser scanner, and obstacle classification using computer vision and laser. The second approach is based on ad-hoc V2V technology and provides detection in case of occlusion for visual sensors. Both technologies have been tested in the presented work, and a performance comparison is given. Tests performed in different driving situations allows to measure the performance of every algorithm and the limitations of each of them based on empirical and scientific foundations. The conclusions of the presented work help foster of expert systems in the automotive sector by providing further discussion of the viability and impact from each of these systems in real scenarios

Cross-Border interoperability for Cooperative, Connected and Autonomous Driving

International audienceNowadays, there is no doubt that the implantation on a massive scale of safe autonomous driving is very difficult using only the information coming from the ego-vehicles, which are subject to the limitations of their visual horizon. For autonomous driving systems to become a reality, it is essential to provide the system with two fundamental elements: connectivity and cooperative services. However, both elements are still at a very early stage of their development, both in communications technology and in the organization and generation of support information. In addition, added difficulties are presented, such as trans-national barriers to accessing services and exchanging information with other vehicles and infrastructure. This paper presents the work done within the European project AUTOCITS, where three cooperative, connected and autonomous driving pilots have been carried out in three cities belonging to the trans-European Atlantic Corridor: Madrid, Lisbon and Paris. Within these pilots, the results of cross-border interoperability are described in detail, both at the communications and at the autonomous driving level. Also, results are analyzed in order to have a set of recommendations to ensure a successful deployment of cooperative, connected and autonomous driving (CCAD) at European leve