Handling Dynamic Road Conditions in Autonomous Driving Challenges, Real-Time Sensor Technologies, and Solutions
Author(s): Fnu Nagarajan
Publication #: 2503098
Date of Publication: 08.11.2024
Country: United States
Pages: 1-4
Published In: Volume 10 Issue 6 November-2024
DOI: https://doi.org/10.5281/zenodo.15087411
Abstract
Autonomous vehicles (AVs) operate in complex and unpredictable environments where road conditions can change dynamically due to traffic congestion, accidents, construction work, and weather conditions. Ensuring real-time updates and adaptability in AVs is crucial for safe and efficient navigation. This paper explores the challenges faced by AVs in handling dynamic road conditions and proposes solutions including AI-driven perception, Vehicle-to-Everything (V2X) communication, high-definition mapping, real-time sensor technology, and sensor fusion techniques. The discussion includes case studies from leading AV companies and an analysis of regulatory frameworks supporting AV adaptability.
Keywords: Autonomous Vehicles, Dynamic Road Conditions, Real-Time Mapping, V2X Communication, Traffic Management, AI Perception, Sensor Fusion, Real-Time Sensors, Autonomous Driving Safety.
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