LLDNet: a lightweight lane detection approach for autonomous cars using deep learning

MAM Khan, MF Haque, KR Hasan, SH Alajmani, M Baz… - Sensors, 2022 - mdpi.com
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 …

Effective lane detection on complex roads with convolutional attention mechanism in autonomous vehicles

V Maddiralla, S Subramanian - Scientific Reports, 2024 - nature.com
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 …

DNN acceleration in vehicle edge computing with mobility-awareness: A synergistic vehicle–edge and edge–edge framework

Y Zheng, L Cui, FP Tso, Z Li, W Jia - Computer Networks, 2024 - Elsevier
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 …

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 …

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 …

Automated end-to-end Architecture for Retinal Layers and Fluids Segmentation on OCT B-scans

O Daanouni, B Cherradi, A Tmiri - Multimedia Tools and Applications, 2024 - Springer
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 …

Deep reinforcement learning for autonomous driving in uncontrolled intersections of Indian roads

AR Shankar, A Mittur, A Narasimhan, KN - Multimedia Tools and …, 2024 - Springer
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 …

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 …

A Solar Power-enabled and LoRa-based Smart Irrigation and Monitoring System

A Jha, K Goyal, N Semwal, G Singal… - … Conference on Advanced …, 2022 - Springer
In addition to being wasteful, traditional irrigation methods fail to adapt to field conditions.
Recent advancements in IoT and ML can help overhaul the existing systems. This paper …

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 …