Traffic object detection and recognition based on the attentional visual field of drivers
M Shirpour, N Khairdoost, MA Bauer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Traffic object detection and recognition systems play an essential role in Advanced Driver
Assistance Systems (ADAS) and Autonomous Vehicles (AV). In this research, we focus on …
Assistance Systems (ADAS) and Autonomous Vehicles (AV). In this research, we focus on …
Prototyping a traffic light recognition device with expert knowledge
Traffic light detection and recognition (TLR) research has grown every year. In addition,
Machine Learning (ML) has been largely used not only in traffic light research but in every …
Machine Learning (ML) has been largely used not only in traffic light research but in every …
A traffic light recognition device
Traffic lights detection and recognition research has grown every year. Time is coming when
autonomous vehicle can navigate in urban roads and streets and intelligent systems aboard …
autonomous vehicle can navigate in urban roads and streets and intelligent systems aboard …
Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems
N Khairdoost - 2022 - search.proquest.com
The number of vehicles on the roads increases every day. According to the National
Highway Traffic Safety Administration (NHTSA), the overwhelming majority of serious …
Highway Traffic Safety Administration (NHTSA), the overwhelming majority of serious …
Frequency Maps as Expert Instructions to lessen Data Dependency on Real-time Traffic Light Recognition
Research on Traffic Light Recognition (TLR) has grown in recent years, primarily driven by
the growing interest in autonomous vehicles development. Machine Learning algorithms …
the growing interest in autonomous vehicles development. Machine Learning algorithms …