PROJECT TITLE :

A Semantic Graph of Traffic Scenes for Intelligent Vehicle Systems

ABSTRACT :

This article presents a semantic graph representation for vision-based intelligent vehicle systems. It will represent the traffic scene with both perceptional that means of object categories and therefore the spatial relations between them. Using such graphs offers superior performance in terms of both accuracy and robustness. Furthermore, a stereovision-based mostly road boundary estimation system, designed for navigating an intelligent vehicle through difficult traffic situations, is introduced, which exemplifies the benefits of the semantic graph.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Extract Human Mobility Patterns Powered by City Semantic Diagram ABSTRACT: The widespread use of global positioning system (GPS) devices has made it easier to access massive spatiotemporal trajectory data. This
PROJECT TITLE : Semantic Segmentation for Free Space and Lane Based on Grid-Based Interest Point Detection ABSTRACT: The field of autonomous driving and advanced driver assistance systems has seen a rise in the number of tasks
PROJECT TITLE : RAVIR A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis ABSTRACT: The vasculature of the retina offers crucial hints that can be used in the diagnosis and ongoing monitoring of
PROJECT TITLE : Semantic Interpretation of Top-N Recommendations ABSTRACT: Throughout the years, model-based approaches have proven to be effective in a variety of settings and domains when it comes to the process of computing
PROJECT TITLE : SR-EM: Episodic Memory Aware of Semantic Relations Based on Hierarchical Clustering Resonance Network ABSTRACT: In order to provide an appropriate level of service to a user, an intelligent robot needs to have