Distance Estimation

Distance estimation, the process of determining the spatial separation between objects or points, is a crucial task across diverse scientific and engineering domains. Current research focuses on improving accuracy and robustness using various approaches, including deep neural networks (DNNs) like YOLOv5s and convolutional recurrent neural networks with attention mechanisms, as well as geometric methods such as stereo triangulation and the use of reference objects. These advancements are driving progress in applications ranging from autonomous vehicle safety and robotics to wildlife monitoring and medical imaging, where precise distance measurements are essential for effective analysis and decision-making. The development of new datasets and improved algorithms continues to refine the accuracy and efficiency of distance estimation techniques.