Due to the recent developments in computation complexity and storage devices allows large amount of data to be stored and processed. The data accumulated is so large and diverse that just by looking wecan't derive...
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With the advancements in IoT technology, cloud computing, and big data technology, smart living has become an integral part of people's lives. However, traditional intelligent data computing relies heavily on clou...
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The tightening process is a critical component of modern intelligent manufacturing, and the system design and process control of the tightening system have a decisive impact on the efficiency and quality of this *** a...
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Vehicle-to-vehicle(V2V)communication is a key technology in the composition of autonomous fleets. However, in the case of unsatisfactory communication, the following control of the vehicle queue is greatly challenged,...
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ISBN:
(纸本)9781665462686
Vehicle-to-vehicle(V2V)communication is a key technology in the composition of autonomous fleets. However, in the case of unsatisfactory communication, the following control of the vehicle queue is greatly challenged, which has a great impact on the safety of the vehicle queue. In this regard, we add a vehicle queue-based delay constraint and propose an improvement to compensate for the impact of communication. Our improved vehicle platooning model reduces the impact of delays by making route corrections for vehicle route deviations due to network delays. The experimental results show that improving the following model in the scenario of communication delay can effectively improve the stability and safety of the autonomous vehicle queue following.
This research paper addresses the problem of accurately evaluating energy consumption in"IPv6 Low Power Personal Area Networks" (6LoWPAN) used for home automation application, consisting of constrained devic...
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Based on the basic theory of flapping-wing aircraft, using SolidWorks modeling method and taking smartbird of Germany as the prototype, this paper completes the mechanical structure design of a bird-like flapping-wing...
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Autonomous vehicles that operate in urban environments shall comply with existing rules and reason about the interactions with other decision-making agents. In this paper, we introduce a decentralized and communicatio...
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ISBN:
(纸本)9798350323658
Autonomous vehicles that operate in urban environments shall comply with existing rules and reason about the interactions with other decision-making agents. In this paper, we introduce a decentralized and communication-free interaction-aware motion planner and apply it to Autonomous Surface Vessels (ASVs) in urban canals. We build upon a sampling-based method, namely Model Predictive Path Integral control (MPPI), and employ it to, in each time instance, compute both a collision-free trajectory for the vehicle and a prediction of other agents' trajectories, thus modeling interactions. To improve the method's efficiency in multi-agent scenarios, we introduce a two-stage sample evaluation strategy and define an appropriate cost function to achieve rule compliance. We evaluate this decentralized approach in simulations with multiple vessels in real scenarios extracted from Amsterdam's canals, showing superior performance than a state-of-the-art trajectory optimization framework and robustness when encountering different types of agents.
In times of severe earthquakes and floods, rapid and effective aid is crucial. Traditional methods often face challenges due to accessibility issues and the vast scale of *** proposed Autonomous Aerial Humanitarian As...
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Urban mobility remains a substantial obstacle in intelligent urban areas. This research tackles the limitations in traffic control using deep learning AlexNet architecture. With urbanization and increasing vehicles, i...
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Female breast cancer is a mortal disease. Every year its incidences and mortality rate increase globally. According to statistics studies, number of breast cancers estimated during 2010, 2015 and 2020 are 0.09, 1.06 a...
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