A review of three-dimensional vision techniques in food and agriculture applications
In recent years, three-dimensional (3D) machine vision techniques have been widely
employed in agriculture and food systems, leveraging advanced deep learning …
employed in agriculture and food systems, leveraging advanced deep learning …
A review of applications of artificial intelligence in heavy duty trucks
Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
Gfanc-kalman: Generative fixed-filter active noise control with cnn-kalman filtering
Selective Fixed-filter Active Noise Control (SFANC) is limited by its selection of a single
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …
Multi-target pedestrian tracking based on yolov5 and deepsort
Y Wang, H Yang - 2022 IEEE Asia-Pacific Conference on …, 2022 - ieeexplore.ieee.org
Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …
Pedestrian detection for autonomous cars: inference fusion of deep neural networks
MM Islam, A Karimoddini - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Network fusion has been recently explored as an approach for improving pedestrian
detection performance. However, most existing fusion methods suffer from runtime …
detection performance. However, most existing fusion methods suffer from runtime …
Object detection using depth completion and camera-LiDAR fusion for autonomous driving
M Carranza-García, FJ Galán-Sales… - Integrated …, 2022 - content.iospress.com
Autonomous vehicles are equipped with complimentary sensors to perceive the
environment accurately. Deep learning models have proven to be the most effective …
environment accurately. Deep learning models have proven to be the most effective …
Connected autonomous vehicles: State of practice
Connected autonomous vehicles (CAVs) have the potential to deal with the steady increase
in road traffic while solving transportation related issues such as traffic congestion, pollution …
in road traffic while solving transportation related issues such as traffic congestion, pollution …
LiDAR-based dense pedestrian detection and tracking
W Wang, X Chang, J Yang, G Xu - Applied Sciences, 2022 - mdpi.com
LiDAR-based pedestrian detection and tracking (PDT) with high-resolution sensing
capability plays an important role in real-world applications such as security monitoring …
capability plays an important role in real-world applications such as security monitoring …
A comparative study in pedestrian detection for autonomous driving systems
M Ramchandani, SP Sahu… - 2022 OPJU International …, 2023 - ieeexplore.ieee.org
Technology development has altered how people live. Intelligent vehicles are being
developed as a result of technological advancements in the automobile industry …
developed as a result of technological advancements in the automobile industry …
Development of Machine Learning based approach to predict fuel consumption and maintenance cost of Heavy-Duty Vehicles using diesel and alternative fuels
S Katreddi - 2023 - search.proquest.com
One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …