#Multiplexing error in idvd Offline

The authors built the segmented image of the environment using the covariance function for a Gaussian Process (GP)-type representation.

#Multiplexing error in idvd Offline

Offline involves relying on previously built maps of the environment, whereas online caters to real-time navigation by building a map of its locality using local information. The primary concept for energy-efficient navigation involves offline and online navigation. studied mobile robotics for indoor applications. The definition of path planning differs from researcher to researcher. Any autonomous vehicle needs a path planner to determine the next movement in any indoor/outdoor environment. Autonomous vehicles do not need human assistance for their operation. Due to their applicability and diversity, it has gained importance for researchers to explore the various branches. Optimizing autonomous vehicle path planning involves various practical applications, e.g., disaster management, rescue operations, job performance in industries and factories, agriculture, restaurants, homes, and many others. An efficient path planning technique of autonomous vehicles can reduce search time and minimize the capital investment of autonomous robots. By optimization, further enhancement can be made. The autonomous guided vehicle research area lies in formulating computational, algorithmic structures that must be applied to hardware structures utilizing minimum resources. Traditionally, path planning involves (a) acquiring information from surroundings, (b) localization of current position, and (c) cognitive mapping helps in taking the required decision satisfying algorithm and executing the task.