[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms
MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …
advantages of autonomous driving systems. The main advantage being the disassociation …
Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
[HTML][HTML] Aerial imagery pile burn detection using deep learning: The FLAME dataset
Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage
to millions of hectares of forest resources and threatening the lives of people and animals. Of …
to millions of hectares of forest resources and threatening the lives of people and animals. Of …
An overview on position location: Past, present, future
Prior to the 21st century, positioning technologies had limited applications including air
traffic control, air and sea navigation, satellite communications and related military uses …
traffic control, air and sea navigation, satellite communications and related military uses …
How to develop data-driven technology roadmaps: The integration of topic modeling and link prediction
J Kim, Y Geum - Technological Forecasting and Social Change, 2021 - Elsevier
Technology roadmaps have been used as an important tool in strategic technology
planning, due to their strong advantages in linking technologies and markets. With the rise of …
planning, due to their strong advantages in linking technologies and markets. With the rise of …
Land cover classification in Thailand's Eastern Economic Corridor (EEC) using convolutional neural network on satellite images
PR Emparanza, N Hongkarnjanakul… - Remote Sensing …, 2020 - Elsevier
Land cover plays an integral role in urban management as a source of information to
support authorities' decision making. Recently, computer vision methods, machine learning …
support authorities' decision making. Recently, computer vision methods, machine learning …
Rolling bearing fault diagnosis based on stacked autoencoder network with dynamic learning rate
H Pan, W Tang, JJ Xu, M Binama - Advances in Materials …, 2020 - Wiley Online Library
Fault diagnosis is of great significance for ensuring the safety and reliable operation of
rolling bearing in industries. Stack autoencoder (SAE) networks have been widely applied in …
rolling bearing in industries. Stack autoencoder (SAE) networks have been widely applied in …
An enhanced approach in detecting object applied to automotive traffic roads signs
A Barodi, A Bajit, M Benbrahim… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
In this article, we use among and the best-known library is Open Computer Vision we call it
for short OpenCV. It is used for image processing, to do all operations we want, to isolate …
for short OpenCV. It is used for image processing, to do all operations we want, to isolate …
Object Classification Using A rtificial I ntelligence Technique sin Autonomous Vehicles
Autonomous or self-driving vehicles are self-decision systems that must choose their next
course of action when an object or other vehicle is spotted on the road. Smooth driving is …
course of action when an object or other vehicle is spotted on the road. Smooth driving is …
Deep traffic light detection by overlaying synthetic context on arbitrary natural images
Deep neural networks come as an effective solution to many problems associated with
autonomous driving. By providing real image samples with traffic context to the network, the …
autonomous driving. By providing real image samples with traffic context to the network, the …