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A Color Histogram Based Large Motion Trend Fusion Algorithm for Vehicle Tracking
Due to the static nature of roadside cameras, targets of images have the characteristics of near big and far small. In a short time, as distances between targets and cameras get more faraway and the pixel ratios of the same target decrease sharply, which
Yin Yankun +3 more
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In Cooperative Intelligent Transportation Systems (C-ITS), vehicles can communicate with one another and with the infrastructure. The openness of the transportation system to new functionalities and use cases may create new vulnerabilities that must be ...
Farah Haidar +5 more
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The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast development of network, sensors, as well as computing technology, it becomes realizable to have vehicles driving autonomously. To achieve autonomous driving,
Wenbo Chu +5 more
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Intelligent and connected vehicles are believed to be the future solution to traffic management, especially in highly challenging areas such as intersections.
Lv Dongxin +4 more
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Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies presents a significant barrier to deploying neural network-based control in ...
Sampo Kuutti +2 more
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LFD-Net: Lightweight Feature-Interaction Dehazing Network for Real-Time Remote Sensing Tasks
Currently, remote sensing equipments are evolving toward intelligence and integration, incorporating edge computing techniques to enable real-time responses.
Yizhu Jin +3 more
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Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environment to ...
Kun Jiang +6 more
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The use of manipulators in space missions has become popular, as their applications can be extended to various space missions such as on-orbit servicing, assembly, and debris removal.
Mehran Raisi +2 more
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The autonomous driving technology based on deep reinforcement learning (DRL) has been confirmed as one of the most cutting-edge research fields worldwide.
Weiguo Liu +4 more
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Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains
Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca +3 more
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