13
1 F. Loy July 2013 Cognitive Onboard Collision Avoidance Master Thesis Fabian Loy University of the Bundeswehr Munich (UBM) Institute of Flight Systems (IFS) Naval Postgraduate School (NPS) Center for Autonomous Vehicles Research (CAVR)

Cognitive Onboard Collision Avoidance

  • Upload
    others

  • View
    9

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Cognitive Onboard Collision Avoidance

1 F. Loy July 2013

Cognitive Onboard Collision Avoidance Master Thesis

Fabian Loy

University of the Bundeswehr Munich (UBM) Institute of Flight Systems (IFS)

Naval Postgraduate School (NPS)

Center for Autonomous Vehicles Research (CAVR)

Page 2: Cognitive Onboard Collision Avoidance

2 F. Loy

Project Certifiable Autopilot

Development of an autopilot for UAVs that can be certified for use in civil airspace

IFS research •  Investigation of knowledge-based information processing

methods for autonomous decision making within safety-critical systems

•  Development of an assistant system using cognitive automation à higher states of autonomy, higher safety

Page 3: Cognitive Onboard Collision Avoidance

3 F. Loy

FCS / FMS ai

r seg

men

t gr

ound

seg

men

t

HMI

work objective

work system output

environmental conditions, information, material & energy supply

UAS Autonomy Architecture

•  agent onboard of UAV •  cooperative interaction between agent and operator

Page 4: Cognitive Onboard Collision Avoidance

4 F. Loy

Current available systems ACAS/TCAS •  able to display Traffic Advisories

(TA, warning) and Resolution Advisories (RA, avoidance command)

•  since altitude is defined most precisely with classic sensors, only vertical advisories are given

Problems concerning (small) UAV 1.  position determination is based

primarily on GPS (high horizontal but bad vertical accuracy)

vertical avoidance not suitable à lateral avoidance

1.  no pilot onboard to execute advisories

à cognitive element on board needed

avoid climbrate current climbrate advised climbrate

Page 5: Cognitive Onboard Collision Avoidance

5 F. Loy

Algorithm of Collision Detection

own UAV (A) intruder UAV (B)

" = "↓0  + "  ∙% & = &↓0  + &  ∙%

' = & − " 

|' |=|& − " |=|&↓0  − "↓0  +(&  − "  )∙%  |

Calculate Distance:

Page 6: Cognitive Onboard Collision Avoidance

6 F. Loy

Algorithm of Collision Detection

|' |

&  

"  

Distance below treshold

&↓0  

"↓0  

Page 7: Cognitive Onboard Collision Avoidance

7 F. Loy

Calculating of Avoidance Course

R

ΔΨ

ICAO Annex 2, 3.2 Avoidance of Collision

Page 8: Cognitive Onboard Collision Avoidance

8 F. Loy

Experimental Setup

HMI (GCS, PFD)

HAI (CAD) HMI (GCS)

UAV1 (own) UAV2 (intruder)

Page 9: Cognitive Onboard Collision Avoidance

9 F. Loy

PFD/CAD

safe flight warning operator substitute operator

Page 10: Cognitive Onboard Collision Avoidance

10 F. Loy

Hardware Setup

atom-mainboard

Ethernet HUB

Piccolo Wireless adapter

power converter

Page 11: Cognitive Onboard Collision Avoidance

11 F. Loy

Software Setup

Page 12: Cognitive Onboard Collision Avoidance

12 F. Loy

Video Flight Test Camp Roberts

Page 13: Cognitive Onboard Collision Avoidance

13 F. Loy

Thank you for your attention!

Any questions?