1 / 11

Distance Estimation

This system uses 2 cameras to passively triangulate the object’s position and estimate distance, eliminating the need for costly active devices. The method involves selecting an object, processing images, and performing calculations to determine distance accurately on the horizontal plane. While accuracy may be lower than active systems, the system is affordable and adaptable to various setups.

mariaharrison
Download Presentation

Distance Estimation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Distance Estimation Ohad Eliyahoo And Ori Zakin

  2. Introduction • Current range estimation techniques require use of an active device such as a laser or radar. • Drawbacks of an active approach are: • Expensive • Use in military scenarios can compromise the measurers position. • Requires dedicated hardware

  3. Introduction (cont) • Our System uses 2 cameras to triangulate the object’s position, and estimate the distance between the camera plane and the object. • Advantages: • Passive, based on passive image processing. • Cheap, only requires two cameras. • Can be implemented in any system that has two cameras, by adding appropriate software. For example, a robot can use this approach to estimate distance to objects in it’s path.

  4. Introduction (cont) • The approach’s main disadvantage is accuracy compared to active systems.

  5. Algorithm Phases • System configuration • Supply two different images of same object • Select object for distance estimation • Identify selected object in second image using image processing • Perform calculations and return result

  6. Camera’s Focal Length Camera’s Diameter System configuration

  7. Angle of view Distance Congruent Area

  8. Processing Userselection Supply two different images of same object Left Right

  9. R D Calculations

  10. Results

  11. Summary • Increasing the distance between the cameras increases the accuracy of the system. • Our system measures distance on the horizontal plane only. • Our experiments were limited by out setup, a more controlled environment is needed to achieve more accurate results

More Related