tRANSAC: Dynamic feature accumulation across time for stable online RANSAC model estimation in automotive applications

Stable Pose Estimation Using Ransac with Triple Point Feature Hash Maps and Symmetry Exploration

In this paper, a scene analyser is introduced which is based on Ransac (Random Sampling Consensus). This scene analysis approach is developed for robotic applications in particular, where poses of objects need to be estimated accurately that robots can grasp objects reliably. For assembly or manipulation purposes even an approximate pose estimation is not sufficient. For many objects appearance...

Online Route Prediction for Automotive Applications

An information and communication technology infrastructure is rapidly emerging that enables the delivery of location-based services to vast numbers of mobile users. Services will benefit from being aware of not only the user’s location, but also the user’s current destination and route towards the destination. This paper describes a component that enables the use of geocontext. Using GPS data, ...

Simulation of the Dynamic Behavior of the Magneto-rheological Engine Mount for Automotive Applications

Dynamic RANSAC

In this paper, the classical RANSAC approach is considered for robust matching to remove mismatches (outliers) in a list of putative correspondences. We will examine the justification for using the minimal size of sample set in a RANSAC trial and propose that the size of the sample set should be varied dynamically depending on the noise and data set. Using larger sample set will not increase th...

Online State Space Model Parameter Estimation in Synchronous Machines

The purpose of this paper is to present a new approach based on the Least Squares Error method for estimating the unknown parameters of the nonlinear 3rd order synchronous generator model. The proposed method uses the mathematical relationships between the machine parameters and on-line input/output measurements to estimate the parameters of the nonlinear state space model. The field voltage is...