Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Visual Navigation and Optimal Control for Autonomous Drone Racing
S. Li
Control & Simulation
Research output
:
Thesis
›
Dissertation (TU Delft)
42
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Visual Navigation and Optimal Control for Autonomous Drone Racing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth and Planetary Sciences
Optimal Control
100%
Position (Location)
100%
Kalman Filter
100%
Model
80%
Vision
60%
Show
60%
Controller
60%
State
60%
Reading
40%
Parameter
40%
Strategy
40%
Artificial Intelligence
40%
Accelerometer
40%
Detection
40%
Global Positioning System
40%
Average
40%
Estimation Method
20%
Coefficient
20%
Target
20%
Constraint
20%
Aerial Photography
20%
Real Time
20%
Aerodynamics
20%
Delivery
20%
Delay
20%
Trajectory
20%
Drag
20%
Gradient
20%
Estimate
20%
Thesis
20%
Detection Method
20%
Inspection
20%
Community
20%
Outlier
20%
Map
20%
Shape
20%
Module
20%
Area
20%
Camera
20%
Polynomial
20%
Cartography
20%
Computer
20%
Set
20%
Descent
20%
Parameter Estimation
20%
INIS
drone
100%
optimal control
100%
navigation
100%
humans
40%
flies
33%
filters
33%
control
26%
solutions
26%
simulation
20%
vision
20%
nonlinear problems
20%
detection
20%
prediction
13%
applications
13%
attitudes
13%
speed
13%
global positioning system
13%
accelerometers
13%
artificial intelligence
13%
outdoors
6%
power
6%
photography
6%
convergence
6%
trajectories
6%
mapping
6%
demand
6%
communities
6%
maps
6%
values
6%
stars
6%
tracks
6%
motion
6%
processing
6%
information
6%
neural networks
6%
delivery
6%
aerodynamics
6%
inspection
6%
policy
6%
polynomials
6%
velocity
6%
tuning
6%
cameras
6%
sensors
6%
snakes
6%
drag
6%
computers
6%
signals
6%
constraints
6%
Computer Science
Kalman Filtering
71%
Global Positioning System
28%
Artificial Intelligence
28%
Trajectory Generation
14%
Revised Version
14%
Fast Convergence
14%
Current-State
14%
Onboard Controller
14%
Parameter Estimation
14%
Filtering Method
14%
Tracking Method
14%
Odometry
14%
Detection Result
14%
Can Controller
14%
Gradient Descent
14%
Neural Network
14%
Engineering
Drone
100%
Kalman Filter
33%
Models
26%
Global Positioning System
13%
Point Method
6%
Graphics Processing Unit
6%
Aerodynamic Coefficient
6%
Velocity
6%
Sensor
6%
Optimal Controller
6%
Minimum Time
6%
Motion Blur
6%
Warehouses
6%
Estimation
6%
Maps
6%
Satisfies
6%
Mapping
6%
Simulation Result
6%
Filtration
6%
Estimated Parameter
6%
Control Module
6%