The cross-country capability of multi-purpose wheeled vehicles is one the most important operational properties these technical objects. In many ways, it determined by their traction characteristics. There are a number ways to improve and coupling multipurpose vehicles, main ones use various kinds control systems, blocking interaxle interwheel differentials, ballast several others. Recently, ab...

This paper presents a redundant multi-object detection method for autonomous driving, exploiting combination of Light Detection and Ranging (LiDAR) stereocamera sensors to detect different obstacles. These are used distinct perception pipelines considering custom hardware/software architecture deployed on self-driving electric racing vehicle. Consequently, the creation local map with respect ve...

Current legislation in European countries, as well as in other parts of the world, is putting stricter limits on pollutant emissions from road vehicles. This issue, in conjunction with the increase awareness of consumer for the environmental problems, will require the development of new clean propulsion systems in disruption with the current mobility solutions based on internal combustion engin...

Many events such as large-scale activities and traffic accidents could cause an increase in vehicle density area, which makes the evacuation of vehicles important. However, existing methods are not efficient limit to multi-vehicles sequences or destinations. In this paper, we introduce a novel dynamic weighted road network model for route planning. Based on model, planning algorithm can obtain ...

Interest in electric unmanned aerial vehicles (UAVs) has grown rapidly recent years, and their applications have expanded diversified considerably since they first appeared, for both commercial private purposes. Thanks to ability perform challenging hazardous tasks with high mobility, safety, low cost. As academic researchers, we are concerned multi-rotor UAVs, which revolutionizing many public...

Multi-class object detection is critical for intelligent traffic monitoring applications in smart cities as well as connected autonomous vehicles. Although, numerous research works evaluate the performance of image processing algorithms for onvehicle cameras, the body of research evaluating performance of image processing of stationary cameras located near intersections is limited. In this rese...