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A systematic review of deep learning based image segmentation to detect polyp
Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
AI-based anomaly identification techniques for vehicles communication protocol systems: Comprehensive investigation, research opportunities and challenges
Abstract The use of Controller Area Network in advanced automobiles as a communication
technology is becoming more common. However, there is a lack of adequate privacy …
technology is becoming more common. However, there is a lack of adequate privacy …
Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles
Q Wu, X Li, K Wang, H Bilal - Soft Computing, 2023 - Springer
Autonomous vehicles require accurate, and fast decision-making perception systems to
know the driving environment. The 2D object detection is critical in allowing the perception …
know the driving environment. The 2D object detection is critical in allowing the perception …
Obstacle avoidance strategy for mobile robot based on monocular camera
This research paper proposes a real-time obstacle avoidance strategy for mobile robots with
a monocular camera. The approach uses a binary semantic segmentation FCN-VGG-16 to …
a monocular camera. The approach uses a binary semantic segmentation FCN-VGG-16 to …
[HTML][HTML] Research on path planning and path tracking control of autonomous vehicles based on improved APF and SMC
Y Zhang, K Liu, F Gao, F Zhao - Sensors, 2023 - mdpi.com
Path planning and tracking control is an essential part of autonomous vehicle research. In
terms of path planning, the artificial potential field (APF) algorithm has attracted much …
terms of path planning, the artificial potential field (APF) algorithm has attracted much …
[HTML][HTML] IRDC-Net: Lightweight semantic segmentation network based on monocular camera for mobile robot navigation
Computer vision plays a significant role in mobile robot navigation due to the wealth of
information extracted from digital images. Mobile robots localize and move to the intended …
information extracted from digital images. Mobile robots localize and move to the intended …
A survey on data compression techniques for automotive lidar point clouds
In the evolving landscape of autonomous driving technology, Light Detection and Ranging
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
Robust cognitive capability in autonomous driving using sensor fusion techniques: A survey
Autonomous driving has become a prominent topic with the rise of intelligent urban vision in
communities. Advancements in automated driving technology play a significant role in the …
communities. Advancements in automated driving technology play a significant role in the …
Respiratory condition detection using audio analysis and convolutional neural networks optimized by modified metaheuristics
Respiratory conditions have been a focal point in recent medical studies. Early detection
and timely treatment are crucial factors in improving patient outcomes for any medical …
and timely treatment are crucial factors in improving patient outcomes for any medical …
Hierarchical perception Enhancement for different levels of autonomous driving: a review
Y Zha, W Shangguan, L Chai, J Chen - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
High precision, strong reliability, and wide range of perception can provide essential data
support for the safe and efficient driving of autonomous vehicles. Based on the technology …
support for the safe and efficient driving of autonomous vehicles. Based on the technology …