: This paper explores how to achieve high-accuracy car model identification (make, model, year) using "lightweight" models suitable for mobile devices, achieving 84.6% accuracy on the famous Stanford Cars dataset.
These papers focus on how computers "see" and identify vehicles in real-world environments. Cars image
: A comprehensive review of how sensors like cameras and LiDAR allow self-driving cars to perform object detection, lane tracking, and sign recognition. : This paper explores how to achieve high-accuracy
: This foundational paper explains how CARS imaging, traditionally used for lipids (fats), can be expanded to study complex carbohydrates in biological tissues. traditionally used for lipids (fats)
This refers to a high-speed, label-free imaging method that uses laser beams to detect chemical vibrations in samples.