AERPAW Find-a-Rover (AFAR) Challenge in December 2023

Introduction
In December 2023, the AERPAW Find-a-Rover (AFAR) Challenge marked a significant advancement in the field of unmanned aerial and ground vehicle collaboration. The challenge, hosted by AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless), focused on the integration of cutting-edge technologies in unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs).
Objective of the Challenge
The primary objective of the AFAR Challenge was to demonstrate the capability of UAVs in accurately and swiftly localizing a UGV. Competitors were tasked with utilizing a UAV equipped with a software-defined radio (SDR) to detect and localize the UGV. The SDR on the UAV was designed to continuously receive a specific channel-sounding waveform, as detailed in the GE2 example experiment from the AERPAW user manual.
Technical Specifications and Constraints

Waveform Characteristics: The challenge mandated the use of a narrowband waveform with a bandwidth of 125 KHz. Co..., , , # AERPAW Find-a-Rover (AFAR) Challenge in December 2023

[https://doi.org/10.5061/dryad.18931zd4g](https://doi.org/10.5061/dryad.18931zd4g)

## Description of the data and file structure

Each submission from the competitors was executed three times in the development environment, with variations in the UGV's location for each run. There are two folders: \"development\" and \"testbed.\" The \"development\" folder includes data on the received signal power and its quality at three different locations. Specifically, the \"power_log\" file records the received signal power and the corresponding Unix timestamp as a floating-point number, while the \"quality_log\" file documents the quality of the received power along with the Unix timestamp.

In the \"testbed\" folder, along with \"power_log\" and \"quality_log\", there is an additional \"log\" file. This file contains information about the UAV's location, including longitude, latitude, altitude, and the Unix timestamp, providing a comprehensive dataset for ...,