A review of lane detection methods based on deep learning
J Tang, S Li, P Liu - Pattern Recognition, 2021 - Elsevier
Lane detection is an application of environmental perception, which aims to detect lane
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning
Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
A comprehensive review on lane marking detection using deep neural networks
Lane marking recognition is one of the most crucial features for automotive vehicles as it is
one of the most fundamental requirements of all the autonomy features of Advanced Driver …
one of the most fundamental requirements of all the autonomy features of Advanced Driver …
RVNet: Deep sensor fusion of monocular camera and radar for image-based obstacle detection in challenging environments
V John, S Mita - Image and Video Technology: 9th Pacific-Rim …, 2019 - Springer
Camera and radar-based obstacle detection are important research topics in environment
perception for autonomous driving. Camera-based obstacle detection reports state-of-the-art …
perception for autonomous driving. Camera-based obstacle detection reports state-of-the-art …
A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam
This study aims to develop a comprehensive approach including an analysis of the
relationships between flood susceptibility and land-use change, based on the relevance …
relationships between flood susceptibility and land-use change, based on the relevance …
CNN-based severity prediction of neurodegenerative diseases using gait data
Ç Berke Erdaş, E Sümer, S Kibaroğlu - Digital Health, 2022 - journals.sagepub.com
Neurodegenerative diseases occur because of degeneration in brain cells but can manifest
as impairment of motor functions. One of the side effects of this impairment is an abnormality …
as impairment of motor functions. One of the side effects of this impairment is an abnormality …
Neurodegenerative diseases detection and grading using gait dynamics
Detection of neurodegenerative diseases such as Parkinson's disease, Huntington's
disease, Amyotrophic Lateral Sclerosis, and grading of these diseases' severity have high …
disease, Amyotrophic Lateral Sclerosis, and grading of these diseases' severity have high …
Deep feature-level sensor fusion using skip connections for real-time object detection in autonomous driving
V John, S Mita - Electronics, 2021 - mdpi.com
Object detection is an important perception task in autonomous driving and advanced driver
assistance systems. The visible camera is widely used for perception, but its performance is …
assistance systems. The visible camera is widely used for perception, but its performance is …
Optimized dissolved oxygen prediction using genetic algorithm and bagging ensemble learning for smart fish farm
The field of aquaculture is one of the numerous scientific disciplines that benefit greatly from
machine learning (ML). The amount of dissolved oxygen (DO), an important indicator of …
machine learning (ML). The amount of dissolved oxygen (DO), an important indicator of …
Automatic calibration of magnetic tracking
M Wang, Q Luo, Y Iravantchi, X Chen… - Proceedings of the 28th …, 2022 - dl.acm.org
Magnetic sensing is emerging as an enabling technology for various engaging applications.
Representative use cases include high-accuracy posture tracking, human-machine …
Representative use cases include high-accuracy posture tracking, human-machine …