Laserhawk

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LaserHawk Project Description

Lidar UAV for traversability map generation

High-level Goals

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1. Autonomous flights of Multiplex Mentor UAV with onboard payload including:
   • Hokuyo UTM-30LX LIDAR sensor
   • OMAP3 Gumstix Overo
   • Xsens MTi and MTi-G IMU/AHRS
   • Paparazzi autopilot
2. Generate traversability map that can be transmitted to UGV
   • cartesian coordinates with traversability probabilities/confidence

Elrob competition details

Questions :

Distance from launch point to zone of interest : ?-? km

Size of zone of interest : ? x ? m

Will stay in standby while waiting for zone of interest coordinates from ground robot or will go home?

Will standby waypoint need to follow ground robot as it travels?

How long aircraft on alert for acquisition requests? Hours?

Terrain map/data downloaded to ground station/groundbot via xbee or wifi or what? file transfer or socket? raw data options?

Current Tasks and Priorities

TASK LIST

Num	Name	Notes	Priority	Status
1	Acquire ground Lidar/attitude data while we wait for plane	use PC then gumstix. Hokuyo and MTIG mounted on boom. biketest git directory has initial data )	x	In progress
2	start flying mentor airframe	Maiden manual flight accomplished. autonomous flying to come next	x	In progress
3	Be able to treat realtime or recorded data from real or virtual data	Some initial application code done, integrating all together next	x	In progress
4	Lit review	x	x	In progress
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Architecture

1. Communication
   • autopilot/groundstation - standard paparazzi Datalink/Telemetry serial modem-based com
   • gumstix/ground - wifi for debugging
   • UAV to UGV com : TBD

Hardware

Airborne

• Autopilot : paparazzi
• Hokuyo : UTM-30LX
• Xsens : MTi-G

Ground

• Who cares? laptops, modems, and antennae should suffice

Software

Version control : github

Airborne

• Overo
  • OS: openembedded-built linux (rt?)
  • Drivers: hokuyo/xsens stuff (robotpkg et genom )
  • apps:
    • mainloop for sensor data processing
    • coordination with ground
    • coordination with autopilot
• Autopilot
  • paparazzi LPC2148-based firmware

Ground

• Paparazzi ground package
• gdhe for data visualization (polyline representations of laser scan lines)

GIT Projects:

1. hoku2gdhe - Demo app uses hokuyo and Xsens MTI sensor and generates polylines in GDHE
   

   hoku2gdhe
2. hokuyomti - App for aquiring hokuyo data and storing to file (Run in parallel with MTIHardTest)
3. log2gdhe - App for visualising stored log (real or virtual) in gdhe
4. log2gdhe/mkvirtlog - scripts for generating scan/attitude logs from a virtual terrain model
   

   mkvirtlog image output. view animation
5. biketest/scripts - scripts for generating images/animations from stored hokuyo/mti logs

Plotlogs image output. view animation

More info in the git READMEs

The goal is to fuse all of these capabilities into one package that allows:

1. displaying real or virtual data
2. live data, recording, and/or playback
3. display raw data in 2d plots (scan data along scan plane, attitude, position, altitude, etc)
4. rectify scan data using attitude and send 3d points to gdhe or store (where? what format?)
5. later on will treat data to generate terrain model / traversability map / whatever
6. not all of this needs to run on overo, just the acquisition and data treatment (some part of it anyways)
7. more?

Geometry

Laserhawk geometry
Overview	Detail
Figure 1	Figure 2

• nominal UAV flight velocity : 20-30 m/s
• nominal UAV flight height AGL : 30 m
• Lidar sensor resolution : 1080 points over 270 deg visible (1440 points over 360 deg) @40Hz

• ground covered distance during one revolution of scanner:

$Dist_{per\_scan\_rev}=ground\_speed\times time_{per\_scan\_rev}=20~{\frac {m}{s}}\times {\frac {1}{40}}~s=0.5~m$

• For 90° interest zone :

• scan line advances down ground track :

$Dist_{x}={\frac {90}{360}}\times Dist_{per\_scan\_rev}={\frac {1}{4}}\times 0.5~m=12.5~cm$

• scan line proceeds along sensor rotation (for a 90 scan, this is twice the AGL height) :

$Dist_{y}=2\times AGL=2\times 30~m=60~m$

• Resolution :

${\frac {{\frac {90}{360}}\times 1440~pixels}{scan\_length}}={\frac {360~pixels}{\sqrt {{Dist_{x}}^{2}+{Dist_{y}}^{2}}}}\approx {\frac {360~pixels}{Dist_{y}}}=6~{\frac {pixels}{m}}=17~$cm between pixels

• Angle relative to track :

$Angle_{scan\_to\_track}=\tan ^{-1}{\frac {Dist_{x}}{Dist_{y}}}=\tan ^{-1}{\frac {0.125}{60}}=0.119^{\circ }$ (negligible relative to crab angle)

Scratchpad

MTI comand line application, for dumping attitude/GPS of MTIG to file : (PC and overo)

MTIHardTest /dev/ttyUSB0 -o 2 -d 6 -v >> MTIG.out

record laser scans to disk (PC and overo) hokuyomti /dev/ttyACM0

scan and display on gdge (PC only for now)

hoku2gdhe

Risks

Risks and unanswered questions

Num	Name	Notes	Priority	Status
1	Lidar performance	at 30m flight height, over row-reflectance surfaces (roads)	x
2	Crashing Lidar	Will build metal/foam box for protection	x	x
3	Radio interference at Elrob	need robust behaviors with lost com	x	x
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