[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 …
[HTML][HTML] 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 …
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 …
Visual Global Localization Based on Deep Neural Netwoks for Self-Driving Cars
TG Cavalcante, T Oliveira-Santos… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
In this work, we present a visual global localization system based on Deep Neural Networks
(DNNs) for self-driving cars, named DeepVgl (Deep Visual Global Localization). In training …
(DNNs) for self-driving cars, named DeepVgl (Deep Visual Global Localization). In training …
Computational geometric-based visual shape tracker
P Bandara - 2021 - mspace.lib.umanitoba.ca
The main intent of multiple shape tracking is to allocate distinct track identities for all the
salient shapes in a video sequence. The approach used in this problem is 'Track by …
salient shapes in a video sequence. The approach used in this problem is 'Track by …
Demystifying Artificial Intelligence based Behavior Prediction of Traffic Actors for Autonomous Vehicle-A Bibliometric Analysis of Trends and Techniques
Background: The purpose of this study is to examine, using bibliometric methods, the work
done on behavior prediction of traffic actors for autonomous vehicles using various artificial …
done on behavior prediction of traffic actors for autonomous vehicles using various artificial …
Long-Term Map Maintenance in Complex Environments
As changes in external environments are inevitable, a lifelong mapping system is desirable
for autonomous robots that aim at long-term operation. Capturing external environment …
for autonomous robots that aim at long-term operation. Capturing external environment …