Unmanned and autonomous ground vehicle

Abstract

Unmanned and Autonomous Ground Vehicle (UAGV) is a smart vehicle that capable of doing tasks without the need of human operator. The automated vehicle can work during off and on road navigation and also used in military operation such as detecting bombs, border patrol, carrying cargos, search, rescue etc reducing soldier’s exposure to danger, freeing them to perform other duties. This type of vehicle mainly uses sensors to observe the environment and automatically take decisions on its own in unpredictable situation and with unknown information or pass this information to the operator who control the UAGV through various communication when it requires support. This UAGV can send visual feedbacks to the operator at the ground station. An onboard sensor gives the complete environment of the vehicle as signals to the operator.

A new energy regeneration system for A BLDC motor driven electric vehicle

“…It is common in electric vehicles to combine both mechanical braking and regenerative braking functions into a single foot pedal: the first part of the foot pedal controls regenerative braking and the final part controls mechanical braking [13,14]. This is a seamless transition from regenerative braking to mechanical braking, akin to the practice of 'putting the brakes on' in a conventional ICE vehicle [15][16][17].…”

Contactless digital tachometer using microcontroller

“… PIC has a fixed memory stack that has very limited space, so it limits us from stacking them very deeply and hence subroutines are limited to a certain extent and C compiler cannot make big stack frames. Stack pointers are used to address all registers of RAM that are available in the given memory space [25,26].  PIC microcontroller can be used to directly address 256 bytes of memory that has to be used by changing the bank after every instruction cycle using extra instructions to change.…”

Robotic navigation algorithm with machine vision

“…In the state of art, many works about mobile robots are done. The main idea is making its auto selfdriving [9,10] using planning trajectories for this task, in 2D [11] and 3D [12] environments, considering energy-aware [13], terrains characteristics [14] and implementing optimization methods [15] 1309 machine vision systems are very useful for auto self-driving, to control the mobile robot [16] and avoid obstacles [17], such as presented in the present work. The article is divided into four main parts, the first part presents some theoretical foundations necessary for the understanding of the other stages.…”