From the early stages of autonomous vehicle's development, traffic light detection/perception
system have been an important area of research for making collision safe self-driving …

Automatic Traffic Sign Detection and Recognition (TSDR) provides drivers with critical
information on traffic signs, and it constitutes an enabling condition for autonomous driving …

Real-time traffic light recognition is essential for autonomous driving. Yet, a cohesive
overview of the underlying model architectures for this task is currently missing. In this work …

Due to the lack of vehicle-to-infrastructure (V2I) communication in the existing transportation
systems, traffic light detection and recognition is essential for advanced driver assistant …

Using fewer sensors to achieve more autonomous driving tasks has become a challenge.
Some of the existing research implements a single neural network model and achieves the …

Traffic Light Detection is one among the vital applications of Advanced Driving Assistant
Systems (ADAS). The objective of traffic light detection is classification and localization of …

Computer vision allows to automatically detect and recognize objects from images.
Nowadays, timely detection of relevant events and efficient recognition of objects in an …

Aiming at the problem of spatial focus regions distribution dispersion and dislocation in
feature pyramid networks and insufficient feature dependency acquisition in both spatial and …

This project proposes a set of methods, inspired by the human experience of vision and
time, for developing video sequences using trained generative models. The methods serve …