Traffic sign and light detection are core components of Advanced Driver Assistance Systems (ADAS) and self-driving vehicles. The automotive industry is widely employing numerous approaches for automation through computer vision techniques. Object detection algorithms based on deep learning can be divided into two main categories, two stage and single stage detection algorithms. Two stage algorithms are designed to improve detection accuracy. While single stage algorithms are constructed to be faster, this increases their suitability for real time applications. This thesis presents a lightweight traffic sign and light detector by adapting a single stage, Single Shot Multibox Detection (SSD) algorithm by providing both high accuracy and real ...
In recent years, with the rapid development of autonomous driving, the objective detection technolog...
Information and telecommunications using traffic signals plays major role in computer vision. Distin...
A fully autonomous car does not yet exist. But the vehicles have continued to gain in range in recen...
Traffic signs detection is becoming increasingly important as various approaches for automation usin...
In this project a deep learning approach is presented for detecting traffic signs in real-time for a...
Nowadays, machine learning algorithms are trendy and are used to solve different problems of autonom...
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, ...
Traffic sign detection systems constitute a key component in trending real-world applications, such ...
Traffic light detection and back-light recognition are essential research topics in the area of inte...
Deep learning models have shown incredible achievement in the field of autonomous driving, covering ...
Vision-based traffic sign detection plays a crucial role in intelligent transportation systems. Rece...
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation...
Traffic light recognition in urban environments is crucial for vehicle control. Many studies have be...
In the last few years, the amount of research in the field of self-driving cars has been immense wit...
A traffic sign recognition system is crucial for safely operating an autonomous driving car and effi...
In recent years, with the rapid development of autonomous driving, the objective detection technolog...
Information and telecommunications using traffic signals plays major role in computer vision. Distin...
A fully autonomous car does not yet exist. But the vehicles have continued to gain in range in recen...
Traffic signs detection is becoming increasingly important as various approaches for automation usin...
In this project a deep learning approach is presented for detecting traffic signs in real-time for a...
Nowadays, machine learning algorithms are trendy and are used to solve different problems of autonom...
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, ...
Traffic sign detection systems constitute a key component in trending real-world applications, such ...
Traffic light detection and back-light recognition are essential research topics in the area of inte...
Deep learning models have shown incredible achievement in the field of autonomous driving, covering ...
Vision-based traffic sign detection plays a crucial role in intelligent transportation systems. Rece...
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation...
Traffic light recognition in urban environments is crucial for vehicle control. Many studies have be...
In the last few years, the amount of research in the field of self-driving cars has been immense wit...
A traffic sign recognition system is crucial for safely operating an autonomous driving car and effi...
In recent years, with the rapid development of autonomous driving, the objective detection technolog...
Information and telecommunications using traffic signals plays major role in computer vision. Distin...
A fully autonomous car does not yet exist. But the vehicles have continued to gain in range in recen...