"Weather-Robust Lane and Object Detection for Autonomous Driving Systems"
Автор: Researcher lyceum
Загружено: 2026-01-17
Просмотров: 20
At Researcher Lyceum, we empower researchers to move beyond conventional computer vision studies and create real-world impact in autonomous driving and intelligent transportation systems, especially under adverse weather conditions.Our expertise spans cross-cutting and emerging AI domains — including Lane Detection, Object Detection, Autonomous Driving Systems, ADAS, Computer Vision, Deep Learning, Sensor Fusion, Weather-Robust Perception, Edge AI, and Intelligent Transportation Technologies.From addressing challenges such as rain, fog, snow, low-light environments, sensor noise, and visibility degradation to developing robust AI models for lane tracking, obstacle detection, and road scene understanding, we support end-to-end research workflows.
Whether it’s research topic selection, dataset preparation, model design, algorithm development, experimentation, optimization, or SCI/Scopus-indexed publication, we provide complete guidance to transform your ideas into impactful and safety-critical AI solutions for next-generation mobility.
Choose us, because reliable perception under adverse weather is the foundation of safer autonomous systems.
Contact no: +91-9442449387, +91-7598837086, +91 90422 88981
Mail id: research@researcherlyceum.com
Website : www.researcherlyceum.com
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