A survey on deep-learning-based lidar 3d object detection for autonomous driving
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 …
decision-making when driving. The sensor is used in the perception system, especially …
Off-road detection analysis for autonomous ground vehicles: A review
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 …
is one of them. In order to safely navigate through any known or unknown environment, AGV …
Deep learning-based image 3-d object detection for autonomous driving
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 …
of autonomous driving and robots. Autonomous driving needs 3-D information about objects …
Tackling class imbalance in computer vision: a contemporary review
Class imbalance is a key issue affecting the performance of computer vision applications
such as medical image analysis, objection detection and recognition, image segmentation …
such as medical image analysis, objection detection and recognition, image segmentation …
Estimating precision and accuracy of automated video post-processing: A step towards implementation of ai/ml for optics-based fish sampling
JH Prior, MD Campbell, M Dawkins… - Frontiers in Marine …, 2023 - frontiersin.org
Increased necessity to monitor vital fish habitat has resulted in proliferation of camera-based
observation methods and advancements in camera and processing technology. Automated …
observation methods and advancements in camera and processing technology. Automated …
Spatial-temporal transformer network for multi-year ENSO prediction
The El Niño-Southern Oscillation (ENSO) is a quasi-periodic climate type that occurs near
the equatorial Pacific Ocean. Extreme periods of this climate type can cause terrible weather …
the equatorial Pacific Ocean. Extreme periods of this climate type can cause terrible weather …
Active learning-based pedestrian and road sign detection
For autonomous driving, pedestrian and road signs detection are key elements. There is
much existing literature available addressing this issue successfully. However, the …
much existing literature available addressing this issue successfully. However, the …
[HTML][HTML] An assessment of in-the-wild datasets for multimodal emotion recognition
A Aguilera, D Mellado, F Rojas - Sensors, 2023 - mdpi.com
Multimodal emotion recognition implies the use of different resources and techniques for
identifying and recognizing human emotions. A variety of data sources such as faces …
identifying and recognizing human emotions. A variety of data sources such as faces …
Automatic detection and classification of coastal Mediterranean fish from underwater images: Good practices for robust training
IA Catalan, A Álvarez-Ellacuría, JL Lisani… - Frontiers in Marine …, 2023 - frontiersin.org
Further investigation is needed to improve the identification and classification of fish in
underwater images using artificial intelligence, specifically deep learning. Questions that …
underwater images using artificial intelligence, specifically deep learning. Questions that …
Wild salmon enumeration and monitoring using deep learning empowered detection and tracking
Pacific salmon have experienced declining abundance and unpredictable returns, yet
remain vital to livelihoods, food security, and cultures of coastal communities around the …
remain vital to livelihoods, food security, and cultures of coastal communities around the …