The Experts below are selected from a list of 48240 Experts worldwide ranked by ideXlab platform

Karl-magnus Dahlén - One of the best experts on this subject based on the ideXlab platform.

  • On path Planning Methods for automotive collision avoidance
    2013 IEEE Intelligent Vehicles Symposium (IV), 2013
    Co-Authors: David Madås, Mohsen Nosratinia, Mansour Keshavarz, Peter Sundström, Rolland Philippsen, Andreas Eidehall, Karl-magnus Dahlén
    Abstract:

    There is a strong trend for increasingly sophisticated Advanced Driver Assistance Systems (ADAS) such as Autonomous Emergency Braking (AEB) systems, Lane Keeping Aid (LKA) systems, and indeed autonomous driving. This trend generates a need for online maneuver generation, for which numerous approaches can be found in the large body of work related to path Planning and obstacle avoidance. In order to ease the challenge of choosing a method, this paper reports quantitative and qualitative insights about three different path Planning Methods: a state lattice planner, predictive constraint-based Planning, and spline-based search tree. Each method is described, implemented and compared on two specific traffic situations. The paper will not provide a final answer about which method is best. This depends on several factors such as computational constraints and the formulation of maneuver optimality that is appropriate for a given assistance or safety function. Instead, the conclusions will highlight qualitative merits and drawbacks for each method, in order to provide guidance for choosing a method for a specific application.

Wang Lu - One of the best experts on this subject based on the ideXlab platform.

  • Global path Planning Methods of UUV in coastal environment
    2016 IEEE International Conference on Mechatronics and Automation, 2016
    Co-Authors: Zhang Hong-han, Gong Liming, Wang Lu
    Abstract:

    In coastal environment, the motion of unmanned underwater vehicle (UUV) is influenced significantly by complex current. The operational performance of UUV can be greatly improved when the impact of ocean current is considered. A global path Planning method of the static obstacle environmental space is addressed in the paper. Firstly, according to the typically coastal vortex, a model of ocean current is proposed and the influence to the motion of UUV is analyzed. Secondly, to satisfy the rapid requirement in path Planning, a heuristic A* algorithm is used to design global Planning path with multiple constraints. Besides, to meet the UUV's smooth path requirement, Bezier curve theory is applied. Simulation experiments are performed to illustrate the feasibility of the algorithm in the steady current and vortex environment.

Stig Arne Mattsson - One of the best experts on this subject based on the ideXlab platform.

  • INVENTORY MANAGEMENT PRACTICES AND THEIR IMPACT ON PERCEIVED Planning PERFORMANCE
    International Journal of Production Research, 2008
    Co-Authors: Patrik Jonsson, Stig Arne Mattsson
    Abstract:

    This paper focuses on the use of material Planning Methods to control material flow to inventories of purchased items. The first sub-objective is to evaluate the perceived Planning performance of material Planning Methods used to control material flows in different inventory types in manufacturing and distribution companies. The second sub-objective is to evaluate the difference in perceived Planning performance depending on the way Planning parameters are determined and the Methods used. Five material Planning Methods are studied: the re-order point method, the fixed order interval method, run-out time Planning, kanban and MRP. Analysis is based on survey data from 153 manufacturing and 53 distribution companies. Findings conclude that the use of material Planning Methods differs depending on where along the material flow they are applied, whether the inventory is located in a manufacturing or in distribution operations and between companies of various sizes. The modes of applying a material Planning method affect its perceived performance. In particular, the way of determining and the review frequency of safety stocks and lead times have great importance for the Planning performance of MRP Methods, while the determination and review of order points, review frequencies and run-out times were important for re-order point Methods.

  • The Selection and Application of Material Planning Methods
    Production Planning & Control, 2002
    Co-Authors: Patrik Jonsson, Stig Arne Mattsson
    Abstract:

    Methods for Planning and control of the ¯ow of material in the manufacturing enterprise are more or less appropriate to use in a specifc situation, mainly depending on the existing Planning environment. How well they contribute to an effective material flow is also depending on how they are applied. This paper examines which material Planning Methods companies are using, to what extent these Methods are perceived as effciently supporting the operation, how the various Methods are applied, and how the satisfied users apply the Methods. The fndings are based on a survey study carried out in 84 manufacturing companies in Sweden in 2000. From the results some conclusions concerning state-of-the-art application of material Planning Methods in the manufacturing industry are presented. A comparison with a similar study on the same population from 1993 is also conducted. The fndings show that material requirements Planning is generally the most used method. The most common ways to determine Planning parameters are based on judgement and experiences. The majority of companies review the parameters less frequently than once a year. The satisfied users, however, use more analytical approaches and review parameters more frequently than others.

  • The Use and Applicability of Capacity Planning Methods
    2002
    Co-Authors: Patrik Jonsson, Stig Arne Mattsson
    Abstract:

    This study identifies the use of capacity Planning Methods and analyzes the characteristic modes of application among satisfied users. It is based on data collected from 84 Swedish manufacturing companies. Capacity Planning using overall factors and capacity requirements Planning are the most common Planning Methods in Swedish manufacturing industries. Capacity bills is the method with lowest average level of applicability. Satisfied users base capacity requirement determination on objective data and up-date the plans more frequently than dissatisfied users.

  • Use and application of capacity Planning Methods
    2002
    Co-Authors: Stig Arne Mattsson
    Abstract:

    Descibes capacity Planning Methods used in Swedish manufacturing companies. The paper also describes why they are used and how they ae used.The results are based on a survey study.

Erik R. Larsen - One of the best experts on this subject based on the ideXlab platform.

  • From Planning to strategy in the electricity industry
    Energy Policy, 2001
    Co-Authors: Isaac Dynera, Erik R. Larsen
    Abstract:

    As more utility markets are deregulated and competition is introduced,there is an increasing need to understand how the Planning Methods used under monopoly have to change to take the new deregulated environment into account. Although this might seem relatively trivial,it has been a major problem for a large number of utilities which have continued using the same Planning approaches that they used when they were monopolies. In this paper,we first describe the environment which,under monopoly conditions,gave rise to the use of mainly operational research Methods for Planning. We then argue that deregulation has changed the fundamental assumptions,making the Planning Methods used under monopoly less useful after deregulation. Finally,we review a number of Methods that utilities should consider using when they formulate strategy in deregulated markets.

  • From Planning to strategy in the electricity industry
    Energy Policy, 2001
    Co-Authors: Isaac Dyner, Erik R. Larsen
    Abstract:

    As more utility markets are deregulated and competition is introduced, there is an increasing need to understand how the Planning Methods used under monopoly have to change to take the new deregulated environment into account. Although this might seem relatively trivial, it has been a major problem for a large number of utilities which have continued using the same Planning approaches that they used when they were monopolies. In this paper, we first describe the environment which, under monopoly conditions, gave rise to the use of mainly operational research Methods for Planning. We then argue that deregulation has changed the fundamental assumptions, making the Planning Methods used under monopoly less useful after deregulation. Finally, we review a number of Methods that utilities should consider using when they formulate strategy in deregulated markets. © 2001 Elsevier Science Ltd. All rights reserved.

David Madås - One of the best experts on this subject based on the ideXlab platform.

  • On path Planning Methods for automotive collision avoidance
    2013 IEEE Intelligent Vehicles Symposium (IV), 2013
    Co-Authors: David Madås, Mohsen Nosratinia, Mansour Keshavarz, Peter Sundström, Rolland Philippsen, Andreas Eidehall, Karl-magnus Dahlén
    Abstract:

    There is a strong trend for increasingly sophisticated Advanced Driver Assistance Systems (ADAS) such as Autonomous Emergency Braking (AEB) systems, Lane Keeping Aid (LKA) systems, and indeed autonomous driving. This trend generates a need for online maneuver generation, for which numerous approaches can be found in the large body of work related to path Planning and obstacle avoidance. In order to ease the challenge of choosing a method, this paper reports quantitative and qualitative insights about three different path Planning Methods: a state lattice planner, predictive constraint-based Planning, and spline-based search tree. Each method is described, implemented and compared on two specific traffic situations. The paper will not provide a final answer about which method is best. This depends on several factors such as computational constraints and the formulation of maneuver optimality that is appropriate for a given assistance or safety function. Instead, the conclusions will highlight qualitative merits and drawbacks for each method, in order to provide guidance for choosing a method for a specific application.