Identify images of car collisions on the road using Deep Learning

• Tác giả: Thị Thúy Nga Nguyễn
• Ngôn ngữ: eng
• Thông tin xuất bản: Tạp chí Thiết bị Giáo dục, 2024
• Mô tả vật lý: tr.59
• Bộ sưu tập: Báo, Tạp chí
• ID: 411811

Tóm tắt

An intelligent transportation system aims to steer vehicles without encountering accidents on the way to the destination. Autonomous vehicles greatly rely on cameras for perceiving their dynamically changing surroundings. Deep learning solutions to vision data is driving the research on collision mitigation systems for selfdriving cars or automobiles with a higher level of autonomy. This paper presents a three-class vehicular collision image classification dataset created from crowd-sourced dashboard camera videos containing on-road vehicular collisions. An image classification deep learning model is developed using teachable machine by transfer learning on the proposed dataset. The ability of the developed model to classify vehicular collision images based on the spatial aspect of the crash is evaluated and presented.