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Self-Supervised Learning for Visual Obstacle Avoidance
Tom van Dijk
Control & Simulation
Research output
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Scientific
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Dive into the research topics of 'Self-Supervised Learning for Visual Obstacle Avoidance'. Together they form a unique fingerprint.
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INIS
avoidance
100%
learning
100%
unmanned aerial vehicles
100%
collisions
75%
environment
62%
vehicles
50%
drone
50%
sensors
50%
depth
50%
antennas
37%
datasets
37%
detection
37%
cameras
37%
operation
25%
air
25%
risks
25%
vision
25%
solutions
25%
design
12%
lidar
12%
capacity
12%
applications
12%
maps
12%
noise
12%
information
12%
cars
12%
images
12%
radar
12%
safety
12%
aircraft
12%
size
12%
computers
12%
Earth and Planetary Sciences
Pilotless Aircraft
100%
Obstacle Avoidance
100%
Detection
75%
Cue
62%
Vehicle
50%
Collision Avoidance
50%
Training
50%
Data Set
37%
Microphone
37%
Collision
25%
Air Traffic
25%
Set
25%
Foci
25%
Vision
12%
Young
12%
Image
12%
Target
12%
Matching
12%
Fraction
12%
Safety Measure
12%
Car
12%
Computer Vision
12%
Requirement
12%
Conflict
12%
Estimate
12%
Map
12%
Need
12%
Engineering
Unmanned Aerial Vehicle
100%
Sensor
50%
Collision Avoidance
50%
Drone
50%
Dataset
37%
Subproblem
37%
Antenna
37%
Large Aircraft
12%
Radar
12%
Detect and Avoid
12%
Payload Capacity
12%
Stereovision
12%
Development
12%
Images
12%
Railroad Cars
12%
Tasks
12%
Computer Science
Obstacle Avoidance
100%
Self-Supervised Learning
100%
Collision Avoidance System
50%
Appearance Cue
25%
Hardware
25%
Operational Environment
25%
Complex Task
12%
Driven Development
12%
Stereo Vision
12%
Depth Estimation
12%
obstacle detection
12%
Information Present
12%
Target Platform
12%
Agricultural and Biological Sciences
Solution
25%
Vision
12%