
Explore AI and computer vision's role in enhancing road safety through real-time edge-based deep learning systems, addressing challenges and leveraging technological trends to reduce traffic fatalities.

Cicloativista defende transformação do espaço público urbano para priorizar segurança e bem-estar das pessoas, promovendo modos ativos de transporte e resgatando a escala humana nas cidades.

Testimonianza toccante di rinascita dopo tragedia: fondazione di supporto per vittime della strada e sensibilizzazione su sicurezza e accessibilità.

Perspectivas personales en movilidad sostenible: clave para políticas urbanas equitativas. Pamela Mendieta aboga por entender la movilidad desde diversas experiencias para crear ciudades más sostenibles e inclusivas.

Explore the Zenseact Open Dataset's role in advancing autonomous driving technology. Learn about its creation, features, and applications in ongoing research projects.

Explore ADAS and autonomous driving fundamentals, hardware components, functions, computing requirements, software elements, and their impact on road safety and transportation.

Powerful personal story raising awareness about distracted driving dangers and ALS challenges. Eileen Miller shares her experiences as a bereaved mother and caregiver, advocating for road safety and ALS support.

Discover how to simulate integrated traffic scenarios combining pedestrian and vehicle movements using SUMO and JuPedSim tools for enhanced road safety and event planning analysis.

Revolutionizing transport data management through spatial and aspatial data integration, enhancing modal usage, asset management, road safety, and public transport for improved community outcomes.

Discover how auxiliary knowledge and scene graphs enhance distracted driver detection systems, improving accuracy by 13.64% through innovative integration of visual cues and driver pose information.