Object Location

Object location, encompassing both image and object geo-localization, aims to pinpoint the spatial coordinates of objects within images or videos, crucial for applications like autonomous driving and robotics. Current research emphasizes improving accuracy and efficiency through advanced bounding box regression methods, leveraging deep learning models like convolutional neural networks and large vision language models (LVLMs) for object detection and localization, often incorporating probabilistic frameworks for uncertainty management. These advancements are driving progress in diverse fields, including autonomous navigation, augmented reality, and advanced driver-assistance systems, by enabling more robust and reliable object perception in complex environments.