A survey on deep-learning-based lidar 3d object detection for autonomous driving

SY Alaba, JE Ball - Sensors, 2022 - mdpi.com
LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …

Off-road detection analysis for autonomous ground vehicles: A review

F Islam, MM Nabi, JE Ball - Sensors, 2022 - mdpi.com
When it comes to some essential abilities of autonomous ground vehicles (AGV), detection
is one of them. In order to safely navigate through any known or unknown environment, AGV …

Class-aware fish species recognition using deep learning for an imbalanced dataset

SY Alaba, MM Nabi, C Shah, J Prior, MD Campbell… - Sensors, 2022 - mdpi.com
Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …

Deep learning-based image 3-d object detection for autonomous driving

SY Alaba, JE Ball - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
An accurate and robust perception system is key to understanding the driving environment
of autonomous driving and robots. Autonomous driving needs 3-D information about objects …

Vehicle detection for autonomous driving: A review of algorithms and datasets

J Karangwa, J Liu, Z Zeng - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …

Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection

SY Alaba, AC Gurbuz, JE Ball - World Electric Vehicle Journal, 2024 - mdpi.com
The pursuit of autonomous driving relies on developing perception systems capable of
making accurate, robust, and rapid decisions to interpret the driving environment effectively …

Active learning-based pedestrian and road sign detection

F Islam, MM Nabi, M Rahman, IA Ebu… - … , and Security for …, 2023 - spiedigitallibrary.org
For autonomous driving, pedestrian and road signs detection are key elements. There is
much existing literature available addressing this issue successfully. However, the …

Semi-supervised learning for fish species recognition

SY Alaba, C Shah, MM Nabi, JE Ball… - Ocean Sensing and …, 2023 - spiedigitallibrary.org
Fish species recognition and detection are essential for fishery industries. Accurate and
robust species classification and detection play a vital role in monitoring fish activities and …

[HTML][HTML] Faster region based convolution neural network with context iterative refinement for object detection

G Balamurugan - Measurement: Sensors, 2024 - Elsevier
In this paper, proposed a novel method to improve the localization precision of identified
objects. We present a framework for iteratively enhancing image region recommendations to …

Machine learning-based label quality assurance for object detection projects in requirements engineering

N Pičuljan, Ž Car - Applied Sciences, 2023 - mdpi.com
Featured Application Our machine learning-based label quality assurance demo showcases
the potential of our approach to improve object detection projects within the data …