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 ...,引言 2023年12月，AERPAW Find-a-Rover（AFAR）挑战赛在无人机与地面无人车协同领域取得了重要进展。该挑战赛由高级无线空中实验与研究平台（Aerial Experimentation and Research Platform for Advanced Wireless, AERPAW）主办，聚焦于无人机（unmanned aerial vehicles, UAV）与地面无人车（unmanned ground vehicles, UGV）前沿技术的集成应用。 挑战赛目标 AFAR挑战赛的核心目标是展示无人机精准快速定位地面无人车的能力。参赛队伍需使用搭载软件定义无线电（software-defined radio, SDR）的无人机，完成对地面无人车的探测与定位任务。该无人机搭载的软件定义无线电需持续接收特定的信道探测波形，相关细节可参考AERPAW用户手册中的GE2示例实验。 技术规范与约束条件 波形特性：本次挑战赛要求使用带宽为125 kHz的窄带波形。…… # 2023年12月AERPAW Find-a-Rover（AFAR）挑战赛 https://doi.org/10.5061/dryad.18931zd4g 数据与文件结构说明 参赛队伍的每份提交方案均需在开发环境中执行三次，每次测试的地面无人车位置均有所不同。数据集包含两个文件夹："development（开发环境）"与"testbed（测试平台）"。 开发环境文件夹包含三个不同位置的接收信号功率及其质量相关数据。其中，"power_log（功率日志）"文件以浮点数形式记录了接收信号功率与对应的Unix时间戳；"quality_log（质量日志）"文件则记录了接收功率的质量参数及对应的Unix时间戳。 在测试平台文件夹中，除"power_log"与"quality_log"外，还额外包含一个"log（日志）"文件。该文件记录了无人机的位置信息，包括经度、纬度、海拔高度以及对应的Unix时间戳，为……提供了全面的数据集。