Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios
نویسندگان
چکیده
German Ros1,2 [email protected] Julio Guerrero3 [email protected] Angel D. Sappa1 [email protected] Daniel Ponsa1,2 [email protected] Antonio M. López-Peña1,2 [email protected] 1 Computer Vision Center Edifici O, Campus UAB, 08193 Bellaterra (Barcelona), Spain 2 Computer Science Dept. Universitat Autònoma de Barcelona Campus UAB, Bellaterra (Barcelona), Spain 3 Dept. de Matemática Aplicada FIUM, Universidad de Murcia Campus de Espinardo, Murcia, Spain
منابع مشابه
Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios
Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the ...
متن کاملAdditional material for: Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios
We provide this additional material with the intention of helping readers to better understand the concepts presented in the manuscript. The issues addressed here are the expressions for the logarithm and the exponential map along with the analytical form of the Jacobian of the cost function that serves to generate the models. 1 On the expressions of the exponential and the logarithm maps The l...
متن کاملA Robust Adaptive Observer-Based Time Varying Fault Estimation
This paper presents a new observer design methodology for a time varying actuator fault estimation. A new linear matrix inequality (LMI) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (FAFE). The FAFE is capable of estimating a wide range of time-varying actuator fault...
متن کاملCamera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...
متن کاملA Robust Reliable Closed Loop Supply Chain Network Design under Uncertainty: A Case Study in Equipment Training Centers
The aim of this paper is to propose a robust reliable bi-objective supply chain network design (SCND) model that is capable of controlling different kinds of uncertainties, concurrently. In this regard, stochastic bi-level scenario based programming approach which is used to model various scenarios related to strike of disruptions. The well-known method helps to overcome adverse effects of disr...
متن کامل