Recently, the amount of research in the field of self-driving cars has grown significantly with
autonomous vehicles having clocked in more than 10 million miles, providing a substantial …

The project aims to represent a prototype of a monocular vision self-driving car model using
latest technology of OpenCV2 and Machine Learning. Self-driving cars are autonomous …

The various markings on the road may cause errors of lane detection and recognition in
vehicle blackbox images. In this paper, we propose the recognition algorithm using HSV …

Autonomous driving is a prominent topic in the fields of artificial intelligence and machine
learning, with several studies being undertaken in order to bring driverless vehicles to the …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

Many people die each year in roadway departure crashes caused by driver inattention. Lane
detection systems are useful in avoiding these accidents as safety is the main purpose of …

Self-Driving Vehicle (SDV) is a promising technology that will establish its predominance in
the near future. As the vehicles are autonomous, humans will experience a hassle-free …

Traffic flow prediction as well as automobile speed estimation is one of the most crucial
study topics of current years. The quick current innovations in calculation ability of daily …

Advanced Driving Assistance Systems (ADASs) is important technology for safety of car as
well as car driver and lane detection is a main purpose of current Advanced Driving …

Traffic flow prediction and vehicle speed estimation is one of the most important research
topics of recent years. The rapid recent advancements in computation ability of everyday …