Navigation

The results of an experimental research of the possibility an autonomous ground robot designed for outdoor use based on available components creation are presented. It is shown that such possibility exists. The main problems of navigation and control of the robot are highlighted. The problems solutions have been identified. The results of an experimental research of the possibility an autonomous ground robot designed for outdoor use based on available components creation are presented. It is shown that such possibility exists.

This dataset investigates the effectiveness of various path planning algorithms in urban contexts using real-world traffic networks obtained from OpenStreetMap (OSM) at three different locations: Chongqing, China, Hubei Province, China, and Washington, D.C., USA. OSM data contains complex details of the road network, including road types, traffic restrictions, and geographic features. By employing zoning and hierarchical shrinkage strategies, we analyzed the route efficiency and travel time optimization of these different urban landscapes.

This work presents a specialized dataset designed to advance autonomous navigation in hiking trail and off-road natural environments. The dataset comprises over 1,250 images (640x360 pixels) captured using a camera mounted on a tele-operated robot on hiking trails. Images are manually labeled into eight terrain classes: grass, rock, trail, root, structure, tree trunk, vegetation, and rough trail. The dataset is provided in its original form without augmentations or resizing, allowing end-users flexibility in preprocessing.

Mechanical Scanning Sonars (MSS) are popular underwater sensors for Unmanned Underwater Vehicles (UUV) due to their low cost, small size, and low power consumption. But due to their simplicity, there are also many research challenges related to their usage.  Unfortunately, there is also a lack of data with ground truth UUV localization. We provide MSS datasets using a UUV with standard navigation sensors, i.e., an Inertial Measurement Unit (IMU) and a Doppler Velocity Log (DVL).

We design a solution to achieve coordinated localization between two unmanned aerial vehicles (UAVs) using radio and camera perception. We achieve the localization between the UAVs in the context of solving the problem of UAV Global Positioning System (GPS) failure or its unavailability. Our approach allows one UAV with a functional GPS unit to coordinate the localization of another UAV with a compromised or missing GPS system. Our solution for localization uses a sensor fusion and coordinated wireless communication approach.

This dataset is in support of my Research paper 'Design of 6-DoF Combat Quadcopter'.

Preprint:   

The system is basic, on existing designs.It is very simple for any graduate,degree holder.

Related Claim : Novel ß Non-Linear Theory

Image Source: https://www.parrot.com/us/use-cases/military-and-defense

Data (Non-Gaussian Noises and Measurement Information Loss)