Fu10 The Galician Night Crawling 2021 <2026 Release>

This paper explores the 2021 creative project FU10: The Galician Night Crawling , an experimental venture that captures the atmospheric essence of the Galician night through digital and audiovisual media. By analyzing the work's specific focus on "night crawling"—the act of nocturnal exploration and recording—this study examines how the project redefines the Galician landscape. It argues that FU10 utilizes the unique aesthetic of the region's darkness to bridge the gap between traditional folklore and modern digital surveillance culture. 1. Introduction

What it sounds like

Digital Zine/Photography:

A collection of high-contrast, atmospheric photos of the Galician landscape at night. 📍 Key Context: Galicia 2021 fu10 the galician night crawling 2021

Abstract

While autonomous driving systems have achieved remarkable performance in standard conditions, perception during nocturnal hours remains a critical bottleneck. Existing datasets predominantly feature daylight, well-lit scenarios, leading to a bias in trained models. This paper introduces "The Galician Night Crawling 2021" dataset, an extension of the FU10 benchmark. Comprising over 5,000 high-resolution frames captured across the urban and inter-urban road networks of Galicia, Spain, this dataset specifically targets adverse low-light conditions, including poorly lit rural roads, rain-slicked asphalt, and high-beam glare interference. We evaluate the performance of state-of-the-art object detection architectures (YOLOv5, Faster R-CNN, and SSD) on this benchmark, highlighting the degradation in performance compared to daylight counterparts. We further propose a contrast-enhancement pre-processing pipeline that improves detection accuracy for vulnerable road users (VRUs) by 12% in near-darkness scenarios. This paper explores the 2021 creative project FU10: