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Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently
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AI
DOI：10.1109/MCS.2022.3187542.png)
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摘要
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Autonomous vehicles and robots promise many exciting new applications that will transform society. For example, autonomous aerial vehicles (AAVs) operating in urban environments could deliver commercial goods and emergency medical supplies, monitor traffic, and provide threat alerts for national security [1]. At the same time, these applications present significant engineering challenges related to performance, trustworthiness, and safety. For instance, AAVs can be a catastrophic safety hazard should they lose control or situational awareness over a populated area. Space missions, self-driving cars, and applications of autonomous underwater vehicles share similar concerns.
Keyword:
Codes
Urban areas
Optimal control
Tutorials
Transforms
Convex functions
Real-time systems
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6.3
论文数:
1.8K
被引数:
4.7K
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