Dynamic Obstacle Detection Based on Probabilistic Moving Feature Recognition
نویسندگان
چکیده
This paper presents a framework to detect moving objects based on the recognition of moving features in the images. The classification scheme is based on a complete probabilistic representation of feature locations that relates the vehicle motion with the visual information. Experimental evaluation under different settings in an outdoor, urban environment shows the performance of the proposed architecture.
منابع مشابه
A Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm
In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...
متن کاملFast and Bounded Probabilistic Collision Detection in Dynamic Environments for High-DOF Trajectory Planning
We present a novel approach to perform probabilistic collision detection between a high-DOF robot and high-DOF obstacles in dynamic, uncertain environments. In dynamic environments with a highDOF robot and moving obstacles, our approach efficiently computes accurate collision probability between the robot and obstacles with upper error bounds. Furthermore, we describe a prediction algorithm for...
متن کاملA Bionic Method of Moving Object Detection with Multi- feature Fusion Based On Frog Vision Characteristics
In the complex natural background, the image features of moving objects usually change severely. And the kinematics and morphological features of dynamic target are unconspicuous due to the fast movement, unpredictable kinetic law and the accompanied scale transformation. The methods of motion detection based on one single morphological, statistics or kinetic features would not meet the require...
متن کاملDiscrimination of Power Quality Distorted Signals Based on Time-frequency Analysis and Probabilistic Neural Network
Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...
متن کاملFast and Bounded Probabilistic Collision Detection for High-DOF Robots in Dynamic Environments
We present a novel approach to performing probabilistic collision detection between a high-DOF robot and imperfect obstacle representations in dynamic, uncertain environments. These uncertainties are modeled using Gaussian distributions. We present an efficient algorithm for bounded collision probability approximation. We use our probabilistic collision algorithm for trajectory optimization in ...
متن کامل