On Enhancing Lane Estimation Using Contextual Cues


Vision-based mostly lane detection is a crucial part of modern automotive active safety systems. Although a range of strong and accurate lane estimation (LE) algorithms have been proposed, computationally efficient systems which will be realized on embedded platforms are less explored and addressed. This paper presents a framework that comes with contextual cues for LE to more enhance the performance in terms of each computational efficiency and accuracy. The proposed context-aware LE framework considers the state of the ego vehicle, its surroundings, and therefore the system-level needs to adapt and scale the LE method ensuing in substantial computational savings. This is often accomplished by synergistically fusing data from multiple sensors along with the visual information to outline the context around the ego vehicle. The context is then incorporated as an input to the LE process to scale it depending on the contextual necessities. A detailed evaluation of the proposed framework on real-world driving conditions shows that the dynamic and static configuration of the lane detection process leads to computation savings as high as ninety%, while not compromising on the accuracy of LE.

Did you like this research project?

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

PROJECT TITLE : Leveraging Deep Learning Techniques to Improve P300-Based Brain Computer Interfaces ABSTRACT: The Brain-Computer Interface, or BCI, is a technology that has matured to the point where it can successfully connect
PROJECT TITLE : GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss ABSTRACT: In this paper, we address the issue of static cloth draping on virtual human bodies using three-dimensional models. We present
PROJECT TITLE :Enhancing Fault Tolerance and Resource Utilization in Unidirectional Quorum-Based Cycle Routing - 2018ABSTRACT:Cycle-based optical network routing, whether or not using synchronous optical networking rings or p-cycles,
PROJECT TITLE :Enhancing Localization Scalability and Accuracy via Opportunistic Sensing - 2018ABSTRACT:Employing a mobile phone for fine-grained indoor localization remains an open drawback. Low-complexity approaches without
PROJECT TITLE :Enhancing Fundamental Energy Limits of Field-Coupled Nano computing Circuits - 2018ABSTRACT:Energy dissipation of future integrated systems, consisting of a myriad of devices, is a challenge that can't be solved

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry