[HTML][HTML] A critical review on computer vision and artificial intelligence in food industry
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated
to leverage the accessibility of big data for active training and yielding operational real time …
to leverage the accessibility of big data for active training and yielding operational real time …
A survey on theories and applications for self-driving cars based on deep learning methods
J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …
influence on social and economic development. Deep learning is one of the current key …
Examination of trust and sustainability concerns in autonomous vehicle adoption
T Dirsehan, C Can - Technology in Society, 2020 - Elsevier
The latest developments regarding autonomous vehicles (AVs) have drawn the attention of
tech-savvy individuals and marketers. AVs are expected to cause a major change in the …
tech-savvy individuals and marketers. AVs are expected to cause a major change in the …
An improved deep network-based scene classification method for self-driving cars
J Ni, K Shen, Y Chen, W Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A self-driving car is a hot research topic in the field of the intelligent transportation system,
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
A conceptual system dynamics model for cybersecurity assessment of connected and autonomous vehicles
Abstract Emerging Connected and Autonomous Vehicles (CAVs) technology have a
ubiquitous communication framework. It poses security challenges in the form of cyber …
ubiquitous communication framework. It poses security challenges in the form of cyber …
A tutorial survey on vehicle-to-vehicle communications
S Zeadally, J Guerrero, J Contreras - Telecommunication Systems, 2020 - Springer
The automotive industry is undergoing major transformation, with the emergence of
vehicular networks, intelligent transportation systems, and autonomous cars over the last …
vehicular networks, intelligent transportation systems, and autonomous cars over the last …
A framework for the synergistic integration of fully autonomous ground vehicles with smart city
K Kuru, W Khan - IEEE Access, 2020 - ieeexplore.ieee.org
Most of the vehicle manufacturers aim to deploy level-5 fully autonomous ground vehicles
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …
Vulnerable objects detection for autonomous driving: A review
E Khatab, A Onsy, M Varley, A Abouelfarag - Integration, 2021 - Elsevier
Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …
Robust fusion of LiDAR and wide-angle camera data for autonomous mobile robots
V De Silva, J Roche, A Kondoz - Sensors, 2018 - mdpi.com
Autonomous robots that assist humans in day to day living tasks are becoming increasingly
popular. Autonomous mobile robots operate by sensing and perceiving their surrounding …
popular. Autonomous mobile robots operate by sensing and perceiving their surrounding …
Fusion of LiDAR and camera sensor data for environment sensing in driverless vehicles
V De Silva, J Roche, A Kondoz - 2017 - repository.lboro.ac.uk
Driverless vehicles operate by sensing and perceiving its surrounding environment to make
the accurate driving decisions. A combination of several different sensors such as LiDAR …
the accurate driving decisions. A combination of several different sensors such as LiDAR …