mirror of https://github.com/ArduPilot/ardupilot
113 lines
3.9 KiB
C++
113 lines
3.9 KiB
C++
/*
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ADC.cpp - Analog Digital Converter Base Class for Ardupilot Mega
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Code by James Goppert. DIYDrones.com
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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*/
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#include "AP_OpticalFlow.h"
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#define FORTYFIVE_DEGREES 0.78539816
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AP_OpticalFlow::AP_OpticalFlow() : raw_dx(0),raw_dy(0),x(0),y(0),surface_quality(0),dx(0),dy(0),last_update(0),field_of_view(1),scaler(0),num_pixels(0)
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{
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}
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// init - initCommAPI parameter controls whether I2C/SPI interface is initialised (set to false if other devices are on the I2C/SPI bus and have already initialised the interface)
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bool
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AP_OpticalFlow::init(bool initCommAPI)
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{
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_orientation_matrix = Matrix3f(1,0,0,0,1,0,0,0,1);
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update_conversion_factors();
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return true; // just return true by default
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}
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// set_orientation - Rotation vector to transform sensor readings to the body frame.
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void
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AP_OpticalFlow::set_orientation(const Matrix3f &rotation_matrix)
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{
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_orientation_matrix = rotation_matrix;
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}
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// read latest values from sensor and fill in x,y and totals
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int AP_OpticalFlow::read()
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{
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}
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// reads a value from the sensor (will be sensor specific)
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byte
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AP_OpticalFlow::read_register(byte address)
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{
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}
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// writes a value to one of the sensor's register (will be sensor specific)
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void
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AP_OpticalFlow::write_register(byte address, byte value)
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{
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}
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// rotate raw values to arrive at final x,y,dx and dy values
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void
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AP_OpticalFlow::apply_orientation_matrix()
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{
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Vector3f rot_vector;
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// next rotate dx and dy
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rot_vector = _orientation_matrix * Vector3f(raw_dx,raw_dy,0);
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dx = rot_vector.x;
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dy = rot_vector.y;
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// add rotated values to totals (perhaps this is pointless as we need to take into account yaw, roll, pitch)
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x += dx;
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y += dy;
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}
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// updatse conversion factors that are dependent upon field_of_view
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void
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AP_OpticalFlow::update_conversion_factors()
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{
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conv_factor = (1.0/(float)(num_pixels*scaler))*2.0*tan(field_of_view/2.0); // multiply this number by altitude and pixel change to get horizontal move (in same units as altitude)
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radians_to_pixels = (num_pixels*scaler) / field_of_view;
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}
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// updates internal lon and lat with estimation based on optical flow
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void
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AP_OpticalFlow::get_position(float roll, float pitch, float yaw, float altitude)
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{
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float diff_roll = roll - _last_roll;
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float diff_pitch = pitch - _last_pitch;
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float avg_altitude = (altitude + _last_altitude)/2;
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//float exp_change_x, exp_change_y;
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//float change_x, change_y;
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//float x_cm, y_cm;
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float cos_yaw = cos(yaw);
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float sin_yaw = sin(yaw);
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int i;
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// only update position if surface quality is good and angle is not over 45 degrees
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if( surface_quality >= 10 && fabs(roll) <= FORTYFIVE_DEGREES && fabs(pitch) <= FORTYFIVE_DEGREES ) {
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// calculate expected x,y diff due to roll and pitch change
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exp_change_x = diff_roll * radians_to_pixels;
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exp_change_y = -diff_pitch * radians_to_pixels;
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// real estimated raw change from mouse
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change_x = dx - exp_change_x;
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change_y = dy - exp_change_y;
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// convert raw change to horizontal movement in cm
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x_cm = -change_x * avg_altitude * conv_factor; // perhaps this altitude should actually be the distance to the ground? i.e. if we are very rolled over it should be longer?
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y_cm = -change_y * avg_altitude * conv_factor; // for example if you are leaned over at 45 deg the ground will appear farther away and motion from opt flow sensor will be less
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// use yaw to convert x and y into lon and lat
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lat += y_cm * cos_yaw - x_cm * sin_yaw;
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lng += x_cm * cos_yaw + y_cm * sin_yaw;
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}
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// capture roll and pitch for next iteration
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_last_roll = roll;
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_last_pitch = pitch;
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_last_altitude = altitude;
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} |