VFS Website
  • VIEW CART
  • CUSTOMER SUPPORT
  • MY STORE ACCOUNT
  • CONTACT US
  • STORE HOME
  • 5Prime
  • Forum Proceedings
  • Workshops
  • Technical Meetings
  • Vertiflite
  • Books, CDs & Gifts


Unable to log in or get member pricing? Having trouble changing your password?

Please review our Frequently Asked Questions for complete information on these and other common situations.
 

Vertical Flight Library & Store

CHECKOUT

0 Item(s) In Cart Total: $0.00


Human-intuitable Collision Avoidance for Autonomous and Semi-Autonomous Aerial Vehicles

Sagar Lakhmani, Jack W. Langelaan, Alan Wagner, Pennsylvania State University

  • Your Path :
  • Home
  • > Human-intuitable Collision Avoidance for Autonomous and Semi-Autonomous Aerial Vehicles

Human-intuitable Collision Avoidance for Autonomous and Semi-Autonomous Aerial Vehicles

  • Presented at Forum 74
  • 8 pages
  • SKU # : 74-2018-1244
  • Your Price : $30.00
  • Join or log in to receive the member price of $15.00!


VFS member?
Don't add this to your cart just yet!
Be sure to log in first to receive the member price of $15.00!

 
Add To Cart

Add to Wish List

Reward Value:
(60) Member Points

Human-intuitable Collision Avoidance for Autonomous and Semi-Autonomous Aerial Vehicles

Authors / Details: Sagar Lakhmani, Jack W. Langelaan, Alan Wagner, Pennsylvania State University

Abstract
This paper addresses the problem of path planning and collision avoidance for multiple aerial vehicles. We develop an algorithm that is scalable, operates in real-time, and is implementable on a UAV's onboard computers. Our method makes use of velocity-based potential field methods for collision avoidance. Potential field methods utilize attractive and repulsive potential to guide the robot towards the goal. We demonstrate the system in a simulation involving 50 vehicles. Next, on physical platforms, we conduct experiments with two and three UAVs capturing the system's ability to avoid other moving vehicles and measuring closest approach. We find that the UAVs not only avoid the collisions but also maintain a minimum distance specified. This method can be used in the future for trajectory planning of multiple aerial vehicles in dense airspaces.

Recently Viewed Items

  • Human-intuitable Collision Avoidance for Autonomous and Semi-Autonomous Aerial Vehicles

    Member Price :
    $15.00
    Your Price :
    $30.00

Popular Products

  • Master Card
  • Visa
  • American Express
  • Customer Support
  • Contact Us
  • Privacy and Security Policies
  • Refund Policies

Copyright © 2022 The Vertical Flight Society. All rights reserved.