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A complete navigation system for goal acquisition in unknown environments
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Optimal and Efficient Path Planning for Partially Known Environments
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An Integrated System for Autonomous Off-Road Navigation
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Principles of Artificial Intelligence
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Robotic vehicles for planetary exploration
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Stereo vision for planetary rovers: Stochastic modeling to near real-time implementation
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Real-time heuristic search
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3D measurements from imaging laser radars: how good are they?
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Implementation of dynamic obstacle avoidance on the CMU NavLab
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A fine-grained alternative to the subsumption architecture for mobile robot control
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Mobile Robot Navigation: The CMU System
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Mobile Robots Real-Time Intelligent Control
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Autonomous cross-country navigation with the ALV
inferredcites →https://doi.org/10.1109/robot.1990.125939openalex-snapshot
Path planning and execution monitoring for a planetary rover
inferredcites →https://doi.org/10.1109/robot.1990.126317openalex-snapshot
A unified solution to coverage and search in explored and unexplored terrains using indirect control
inferredcites →https://doi.org/10.1109/robot.1992.220266openalex-snapshot
Robotic vehicles for planetary exploration
inferredcites →https://doi.org/10.1109/robot.1994.351053openalex-snapshot
Pixel-based range processing for autonomous driving
inferredcites →https://doi.org/10.1109/robot.1994.351061openalex-snapshot
Optimal and efficient path planning for partially-known environments
inferredcites →https://doi.org/10.1109/robot.1994.351261openalex-snapshot
An integrated system for autonomous off-road navigation
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Dynamic path planning for a mobile automaton with limited information on the environment
inferredcites →https://doi.org/10.1117/12.143821openalex-snapshot
Autonomous system for cross-country navigation
inferredcites →https://doi.org/10.1117/12.937789openalex-snapshot
Obstacle Avoidance On Roadways Using Range Data
inferredcites →https://doi.org/10.1117/12.937795openalex-snapshot
A Curvature-based Scheme for Improving Road Vehicle Guidance by Computer Vision
inferredcites →https://doi.org/10.1162/neco.1991.3.1.88openalex-snapshot
Efficient Training of Artificial Neural Networks for Autonomous Navigation
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Perception system and functions for autonomous navigation in a natural environment
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Computation of Optimal Profiles in Descent and Approach Phases
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