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Probabilistic Motion Planning in Dynamic Environments: Parallelizable Scenario-Based Trajectory Optimization with Global Guidance
O.M. de Groot
Learning & Autonomous Control
Research output
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Thesis
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Dissertation (TU Delft)
149
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Research output
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Dive into the research topics of 'Probabilistic Motion Planning in Dynamic Environments: Parallelizable Scenario-Based Trajectory Optimization with Global Guidance'. Together they form a unique fingerprint.
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INIS
dynamics
100%
trajectories
100%
motion
100%
optimization
100%
environment
100%
probabilistic estimation
100%
planning
100%
control
66%
collisions
38%
robots
38%
humans
38%
probability
28%
prediction
23%
topology
23%
safety
19%
distribution
14%
constraints
14%
vehicles
9%
navigation
9%
data
9%
design
4%
applications
4%
simulation
4%
variations
4%
information
4%
implementation
4%
comparative evaluations
4%
people
4%
accuracy
4%
cost
4%
performance
4%
solutions
4%
algorithms
4%
decision making
4%
sampling
4%
Computer Science
Account Planner
7%
Probabilistic Planning
7%
Engineering
Human Motions
9%
Control Plan
4%
Keyphrases
Probabilistic Planning
9%