A Kalman Filter-Based Update Scheme for Road Following

نویسندگان

  • Hichem Sahli
  • Patrick de Muynck
  • Jan Cornelis
چکیده

A novel technique for tracking arbitrary colored objects in complex environments is proposed in this paper. Active search and prediction of search area is used for improving speed. The system is capable of accurately tracking a t the rate of around 10 frames per second without any special hardware.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Development and Application of an Enhanced Kalman Filter and Global Positioning System Error-Correction Approach for Improved Map-Matching

Map-matching, which reconciles a vehicle’s location with the underlying road map, is a fundamental function of a land vehicle navigation system. This paper presents an improved Kalman filter approach whose state space model is different from the conventional ones. The main objective of the research is to develop and apply a proper Kalman filter-based model for effectively correcting the Global ...

متن کامل

A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter

[1] Sequential data assimilation methods, such as the ensemble Kalman filter (EnKF), provide a general framework to account for various uncertainties in hydrologic modeling, simultaneously estimating dynamic states and model parameters with a state augmentation technique. But this technique suffers from spurious correlation for impulse responses, such as the rainfall-runoff process, especially ...

متن کامل

Semi-automatic Road Extraction from SAR Images Using EKF and PF

Recently, the use of linear features for processing remote sensing images has shown its importance in applications. As one of typical linear targets, road is a hot spot of remote sensing image interpretation. Since extracting road by manual processing is too expensive and time consuming, researches based on automatic and semi-automatic have become more and more popular. Such interest is motivat...

متن کامل

A New Adaptive Extended Kalman Filter for a Class of Nonlinear Systems

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...

متن کامل

Road Tracking from High resolution IRS And IKONOS Images Using Unscented Kalman Filtering

A typical way to update map is to compare recent satellite images with existing map data, detect new roads and add them as cartographic entities to the road layer. At present image processing and pattern recognition are not robust enough to automate the image interpretation system feasible. For this reason we have to develop an image interpretation system that rely on human guidance. More impor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996