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» Learning to Drive Among Obstacles
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AAAI
2000
13 years 11 months ago
Appearance-Based Obstacle Detection with Monocular Color Vision
This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
Iwan Ulrich, Illah R. Nourbakhsh
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 6 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
CVPR
2010
IEEE
13 years 7 months ago
Group motion segmentation using a Spatio-Temporal Driving Force Model
We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple obj...
Ruonan Li, Rama Chellappa
RE
2004
Springer
14 years 3 months ago
Goal-Oriented Requirements Enginering: A Roundtrip from Research to Practice
The software industry is more than ever facing the challenge of delivering WYGIWYW software (What You Get Is What You Want). A well-structured document specifying adequate, comple...
Axel van Lamsweerde
SBRN
2008
IEEE
14 years 4 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...