BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds

Three-dimensional (3D) visual perception is pivotal for understanding surrounding environments in applications such as autonomous driving and mobile robotics. While LiDAR-based models dominate due to accurate depth sensing, their cost and sparse outputs have driven interest in camera-based systems....

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	AI
المؤلفون الرئيسيون:	Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-04-01
الموضوعات:	3D perception attentionmechanisms bird’s-eye view (BEV) multi-modalfusion objectdetection real-timeprocessing
الوصول للمادة أونلاين:	https://www.mdpi.com/2673-2688/6/4/82