Geo-Temporal Selective Approach for Dynamic Depth Estimation in Outdoor Object Detection and Distance Measurement
Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles.Recent advancements have significantly improved both supervised and self-supervised methods for depth estimation.However, most current approaches primarily focus on monocular depth estimation and face challe