Detection System: Iteration 2 Research

Objective

Produce a block diagram and implementation details for a new system to detect, locate and select targets.

Due date

Aug 18, 2021 

Key outcomes

  • Determine if new target detection system can be more effective, and the details of a new system.

  • Determine if new geolocation system could be more effective, and details of a new system.

  • Architecture for how to store target data and present to user.

  • Architecture for how to select new target

Status

in progress

Problem Statement

Our current system is only capable of tracking and flying towards one target. Further, target detection, location and selection occurs in the same process.

Requirements

  • New target detection system with independent target identification and selection.

    • Therefore, targets are stored than selected, rather than taken and selected as they come.

    • Require a diagram explaining how targets are detected then selected.

    • Require an overview of the data structure for storing targets.

  • Review of target identification and geolocation subsystems.

    • Require a diagram and explanation of new systems, if current system should be improved.

Scope

Must have:

  • High level block diagram of how a new target system would work. Including data into each module, data out from each module, and methods in each module.

  • Verification that concepts are possible to implement in code.

  • Data structure for storing target information.

Nice to have:

  • Implementation details on possible libraries.

Not in scope:

  • Any implementation in code.

Milestones and deadlines

Milestone

Owner

Deadline

Status

Milestone

Owner

Deadline

Status

Review requirements with Aryan

@Shrinjay Mukherjee

Aug 5

complete

Verify @R D participation and review requirements

@Shrinjay Mukherjee

Flex

closed

Complete candidate architecture

@Aryan Kalia

Aug 17

complete

Complete candidate architecture

@Shrinjay Mukherjee

Aug 17

complete

Review and integrate candidates into final architecture

@Shrinjay Mukherjee

Aug 18

complete

Create final diagram and documentation

@Shrinjay Mukherjee

Aug 18

in progress

August 19th Discussion

  • Busy Situations → If we’re flying over targets in an area with a lot of points of interest that can result in false detection, a possible approach is to use image segmentation with filtering to identify points of interests before scanning,

  • Target Confidence → Mapping system can also hold target “confidence” which can come from both the model’s confidence in the target and the # of times we see the target.

 

Reference materials

Research on UAV ground targets: