LLDNet: a lightweight lane detection approach for autonomous cars using deep learning
Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post …
Traditional lane detection methods need extensive hand-crafted features and post …
Effective lane detection on complex roads with convolutional attention mechanism in autonomous vehicles
Autonomous Vehicles (AV's) have achieved more popularity in vehicular technology in
recent years. For the development of secure and safe driving, these AV's help to reduce the …
recent years. For the development of secure and safe driving, these AV's help to reduce the …
[HTML][HTML] Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models
H Li, T Peng, B Wang, R Zhang, B Gao, N Qiao… - Alexandria Engineering …, 2025 - Elsevier
Achieving stable and reliable autonomous driving in complex traffic environments while
ensuring safety under unpredictable conditions is a critical challenge in autonomous driving …
ensuring safety under unpredictable conditions is a critical challenge in autonomous driving …
DNN acceleration in vehicle edge computing with mobility-awareness: A synergistic vehicle–edge and edge–edge framework
In recent years, vehicular networks have seen a proliferation of applications and services
such as image tagging, lane detection, and speech recognition. Many of these applications …
such as image tagging, lane detection, and speech recognition. Many of these applications …
Lane Detection in Autonomous Driving: A Comprehensive Survey of Methods and Performance
M Zaidi, H Daud, M Shafique… - 2024 IEEE 1st Karachi …, 2024 - ieeexplore.ieee.org
Lane recognition is an essential task for autonomous cars and driver-aid systems. However,
the currently used algorithms for lane detection may not perform well in certain situations …
the currently used algorithms for lane detection may not perform well in certain situations …
Automated end-to-end Architecture for Retinal Layers and Fluids Segmentation on OCT B-scans
Age-related macular degeneration (AMD) is a degenerative retina condition that causes
notable visual impairment in the central area of the visual field during its advanced stages …
notable visual impairment in the central area of the visual field during its advanced stages …
Low Cost and Highly Sensitive Automated Surface Defects Identification Method of Precision Castings Using Deep Learning
H Yu, M Kang, C Ding, Y Liu, H Gao, J Wang - Journal of Nondestructive …, 2024 - Springer
The surface of superalloy precision castings might exhibit defects after forming, posing a
significant risk to their service life, necessitating inspection during post-process …
significant risk to their service life, necessitating inspection during post-process …
Deep reinforcement learning for autonomous driving in uncontrolled intersections of Indian roads
Unmanned driving agents, trained to identify traffic signals, signboards, and lane change
depend on training the agent for various real-life scenarios. This paper addresses …
depend on training the agent for various real-life scenarios. This paper addresses …
Thresholding based Smart Home Automation System using K-means
A Katiyar, A Singh, M Parvez, N Rajora… - … on Cloud Computing …, 2023 - ieeexplore.ieee.org
Home automation is a technology that is often viewed as a luxury and not a necessity. The
means of achieving home automation is always considered expensive and inconvenient in …
means of achieving home automation is always considered expensive and inconvenient in …
Spectacles prediction using machine learning algorithms
S Amulya, K Sudeeptha, G Sathvika… - AIP Conference …, 2024 - pubs.aip.org
Eye defects in teenagers is becoming more prevalent these days, especially due to the
pandemic situation. Digital eye strain due to excessive usage of gadgets can result in a …
pandemic situation. Digital eye strain due to excessive usage of gadgets can result in a …