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Autonomous driving faces major hurdles in extreme weather, study finds

By PulseAugur Editorial · [1 sources] ·

A new paper from the Horizon Europe ROADVIEW project highlights ten key challenges in developing autonomous driving systems capable of operating reliably in extreme weather conditions like snow, rain, and fog. The research, based on four years of development and real-world demonstrations, identifies issues such as data scarcity, domain shifts, limitations in multimodal perception, and validation gaps. The findings aim to guide future research and standardization efforts toward achieving robust snow-autonomous driving. AI

IMPACT Highlights critical research gaps and future directions for AI in autonomous driving under adverse conditions.

RANK_REASON Academic paper detailing research findings and challenges. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Autonomous driving faces major hurdles in extreme weather, study finds

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Academic paper detailing research findings and challenges. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eren Erdal Aksoy, Abu Mohammed Raisuddin, Thien-Thu Ngo, Eren Aydemir, Osman Tahir Ek\c{s}i, Paula Litkey, Petri Manninen, Heikki Hyyti, Jyri Maanp\"a\"a, Tarmo Kivioja, Tuomas Herranen, V\"ais\"anen Sofie, Niemi Kalle, Isabelle Morvan, Pierre Duthon, Ia… ·

    Are We Ready for Snow-tonomous Driving? Challenges Toward Robust Automated Driving in Extreme Weather

    arXiv:2611.15217v1 Announce Type: cross Abstract: Automated driving has gained remarkable momentum over the past decade, with both industry and academia investing substantial resources in developing perception and control solutions to advance vehicle autonomy. However, these effo…

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