Sora-based parallel vision for smart sensing of intelligent vehicles: From foundation models to foundation intelligence

H Yu, X Liu, Y Tian, Y Wang, C Gou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
There are a large number of functional sensors installed on the modern intelligent vehicles.
Many Artificial Intelligence based foundation models have been proposed for smart sensing …

[HTML][HTML] Vision-based autonomous vehicle systems based on deep learning: A systematic literature review

MI Pavel, SY Tan, A Abdullah - Applied Sciences, 2022 - mdpi.com
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

ParallelEye-CS: A new dataset of synthetic images for testing the visual intelligence of intelligent vehicles

X Li, Y Wang, L Yan, K Wang, F Deng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Virtual simulation testing is becoming indispensable for the intelligence testing of intelligent
vehicles. However, even the most advanced simulation software provides rather limited test …

Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review

S Yao, R Guan, X Huang, Z Li, X Sha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

A Daniel, K Subburathinam… - IET Intelligent …, 2020 - Wiley Online Library
In an autonomous vehicle (AV), in order to efficiently exploit the acquired resources, big data
analyses will be a reliable source for extracting valuable information from various sensors …

An efficient and scalable simulation model for autonomous vehicles with economical hardware

M Sajjad, M Irfan, K Muhammad… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Autonomous vehicles rely on sophisticated hardware and software technologies for
acquiring holistic awareness of their immediate surroundings. Deep learning methods have …

TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles

F Alam, R Mehmood, I Katib, SM Altowaijri… - Mobile Networks and …, 2023 - Springer
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …

Insights and strategies for an autonomous vehicle with a sensor fusion innovation: A fictional outlook

F Hafeez, UU Sheikh, N Alkhaldi, HZ Al Garni… - IEEE …, 2020 - ieeexplore.ieee.org
A few decades ago, the idea of a car driving without human assistance was something
inconceivable. With the advent of deep learning-based machine learning in artificial …

A deep learning-based hybrid framework for object detection and recognition in autonomous driving

Y Li, H Wang, LM Dang, TN Nguyen, D Han… - IEEE …, 2020 - ieeexplore.ieee.org
As a key technology of intelligent transportation system, the intelligent vehicle is the carrier
of comprehensive integration of many technologies. Although vision-based autonomous …

Emergent visual sensors for autonomous vehicles

Y Li, J Moreau, J Ibanez-Guzman - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …