Hi, can you help me find 3 to 4 reliable RRL's (Review of Related Literature) about "vehicle detection, recognition, and counter system". By the way, im using python openCV. i just need some RRL's for my research. Maybe you can help. thank you. Also dont forget the link to post.

Vehicle Detection, Recognition, and Counter System 1. Key Words 2. Vehicle Detection 3. Vehicle Recognition 4. Vehicle Counter 5. Object ( Vehicle ) Detection Purpose 1. The main purpose of this project is to identify, recognize and count the incoming vehicles across the camera or live video using python code and corresponding libraries. 2. Vehicle detection processes on road are used for vehicle tracking, counts, average speed of each individual vehicle, and vehicle categorizing objectives and may be implemented under different environment changes. 3. Real-time detection and recognition of current vehicles can effectively prevent the occurrence of malignant vehicle accidents such as rear-end collisions. 4. The vehicle detection and counter system can also be used not only on roads or highways but also in other establishments with parking lots, drive thrus, car washes, etc. INTRODUCTION The Vehicle Detection, Recognition, and Counter System is a python project using OpenCV that detects all motorized vehicles, including heavy goods vehicles, cars, two-wheelers, etc. The benefit of this system is that it can count vehicles one by one, even in a two-way lane. It takes into account volume, speed and even classification. This helps monitor whether or not user on a given road are obeying speed limits. Its primary goals are to improve vehicle safety, intelligence, and to provide a friendly human-vehicle interface. Transportation is plagued by numerous issues, including a high accident rate, traffic congestion, and carbon emission air pollution. This project is effectively and comprehensively applied to transportation, service control, and vehicle manufacturing and strengthens the connection between vehicles, roads, and users, forming an integrated transportation system that guarantees safety, improves efficiency, improves the environment, and saves energy. Video surveillance and monitoring systems have been widely used in road management in recent years, primarily for traffic density estimation and vehicle classification. Many algorithms have been proposed in recent years to detect, recognize, and track vehicles in front of them by establishing a corresponding relationship between regions and vehicles by moving vehicles through image sequences. Vision-based vehicle detection technology for improving road safety has gained popularity over the last decade (Cheng et al., 2015)