Safe and Topographic Path Planning with Deep Neural Networks-Reference-Cited by-同舟云学术

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Safe and Topographic Path Planning with Deep Neural Networks

Published:2022-10-24 Issue: Volume: Page:
ISSN:
Container-title:2022 21st Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)
language:
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Author:

Weber Cristian M.¹,Freitas Edison P.²,Silva Luis A. L.³

Affiliation:

1. Undergraduate Program in Computer Science, Federal Univ. of Santa Maria,Santa Maria,Brazil

2. Institute of Informatics, Federal Univ. of Rio Grande do Sul,Porto Alegre,Brazil

3. Federal Univ. of Santa Maria,Applied Computing Department,Santa Maria,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9960946/9961070/09961114.pdf?arnumber=9961114

Reference22 articles.

1. Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search

2. Path Planning for Planetary Exploration Rovers and Its Evaluation based on Wheel Slip Dynamics

3. Knowledge-Based Probability Maps for Covert Pathfinding

4. Safe Pathfinding Using Abstract Hierarchical Graph and Influence Map

5. Numba

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