Deep Event-based Object Detection in Autonomous Driving: A Survey

التفاصيل البيبلوغرافية
العنوان: Deep Event-based Object Detection in Autonomous Driving: A Survey
المؤلفون: Zhou, Bingquan, Jiang, Jie
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: Object detection plays a critical role in autonomous driving, where accurately and efficiently detecting objects in fast-moving scenes is crucial. Traditional frame-based cameras face challenges in balancing latency and bandwidth, necessitating the need for innovative solutions. Event cameras have emerged as promising sensors for autonomous driving due to their low latency, high dynamic range, and low power consumption. However, effectively utilizing the asynchronous and sparse event data presents challenges, particularly in maintaining low latency and lightweight architectures for object detection. This paper provides an overview of object detection using event data in autonomous driving, showcasing the competitive benefits of event cameras.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.03995
رقم الأكسشن: edsarx.2405.03995
قاعدة البيانات: arXiv