Amanote Research
Register
Sign In
Applying Neuromorphic Vision Sensors to Planetary Landing Tasks
doi 10.1109/biocas.2009.5372048
Full Text
Open PDF
Abstract
Available in
full text
Date
November 1, 2009
Authors
Garrick Orchard
Chiara Bartolozzi
Giacomo Indiveri
Publisher
IEEE
Related search
Hardware-In-The-Loop Testing of Stereo Vision-Based Hazard-Detection Method for Planetary Landing
Concept Learning in Neuromorphic Vision Systems: What Can We Learn From Insects?
Journal of Software Engineering and Applications
Vision Guided Manipulation for Planetary Robotics — Position Control
Robotics and Autonomous Systems
Control
Systems Engineering
Software
Computer Science Applications
Mathematics
Development of LIDAR Sensor Systems for Autonomous Safe Landing on Planetary Bodies
Vision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing
IEEE Transactions on Robotics
Control
Systems Engineering
Computer Science Applications
Electrical
Electronic Engineering
Systematic Performance-Oriented Guidance Tuning for Descent & Landing on Small Planetary Bodies
Acta Astronautica
Aerospace Engineering
Development of Lidar Sensor Systems for Autonomous Safe Landing on Planetary Bodies
Improving 3D Vision-Robot Registration for Assembly Tasks
Social Vision: Applying a Social-Functional Approach to Face and Expression Perception
Current Directions in Psychological Science
Developmental
Psychology
Educational Psychology
