Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …

Vehicle make and model recognition (VMMR) is a crucial task for develo** automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …

Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …

Make and model recognition (MMR) of vehicles plays an important role in automatic vision-
based systems. This paper proposes a novel deep learning approach for MMR using the …

Fine-grained vehicle model recognition is a challenging problem in intelligent transportation
systems due to the subtle intra-category appearance variation. In this paper, we demonstrate …

In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance
applications. We propose an approach that is orthogonal to recent advancements in fine …

Abstract Vehicle Make and Model Recognition (VMMR) has evolved into a significant
subject of study due to its importance in numerous Intelligent Transportation Systems (ITS) …

In this paper, we propose and evaluate unexplored approaches for real-time automated
vehicle make and model recognition (VMMR) based on a bag of speeded-up robust features …

Vehicle model recognition plays a crucial role in intelligent transportation systems. Most of
the existing vehicle model recognition methods focus on locating a large global feature or …

This paper presents an effective method for strengthening the discriminative ability of high-
level deep features by enhancing and aggregating discriminative part-level features for the …