Interdrone 2015 Notes: Difference between revisions
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* Douglas Weibel, PHD | * Douglas Weibel, PHD | ||
* | * Wind - a vector velocity field with spatial and temporal variation | ||
* Wind has structured (predictive) and random properties (turbulence) that are difficult to model | |||
* State | |||
** Attitude (Roll, Pitch, Yaw, Roll Rate, Pitch Rate, Yaw Rate) | |||
** Attitude Rates | |||
** Position | |||
** Velocity | |||
* Other possible states | |||
** Wind Paramters | |||
** Height over ground | |||
** Battery energy | |||
** gyro bias | |||
** accel bias | |||
* Attitude Estimation | |||
** Stabilized Sub Platform | |||
** Whabba's problem | |||
** Integration | |||
** Combined | |||
Revision as of 21:43, 9 September 2015
From Interdrone 2015
Areas for Further Research
Crowd Analytics through Facial Recognition
Eyeris
Software package called ImoVu - Deep Learning architecture for image processes that imitates human recognition
- Vision for Embedded Systems
- 97% accurate
- 140 FPS on i7 processor
- Ambient Intelligence (AML) - Electronic environments that are sensitive and responsive to the presence of people.
- Minimal required resolution for a face: 50x50px, Ideal 70x70px
- Does not use FACS
- Uses OpenCV open source software to identify faces and for some devices, sometimes falls back to the devices facial recognition
- This software is not useful for things or places (only people)
- Allows for
- Access to Hard to reach places
- Large coverage area
- Eye Level
- Improved angles
- Trained For
- 5 Major ethnic groups
- 5 age groups
- 2 genders
- 10 lightning conditions
- 13 head poses
- supervised and unsupervised
- different camera structures
- different resolution
- different face attributes
- Joy
- Surprise
- Sadness
- Disgust
- Anger
- Fear
- Neutral
3D Mapping
- mark@visuallaw.com
- sketchfab - 3d modeling software
- pointcloud
- DroneDeploy - android app for creating 3d mesh and orthomap ($300 a month)
- Pix4D - the primary software for creating 3 modeling of terrain
- Adjisoft Photoscan (?) - Competitor to pix4d
- Autodesk is working on comparable software
DroneKit
Flying in Wind: State Estimation for UAS
- Douglas Weibel, PHD
- Wind - a vector velocity field with spatial and temporal variation
- Wind has structured (predictive) and random properties (turbulence) that are difficult to model
- State
- Attitude (Roll, Pitch, Yaw, Roll Rate, Pitch Rate, Yaw Rate)
- Attitude Rates
- Position
- Velocity
- Other possible states
- Wind Paramters
- Height over ground
- Battery energy
- gyro bias
- accel bias
- Attitude Estimation
- Stabilized Sub Platform
- Whabba's problem
- Integration
- Combined