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Initial Submission - Manjot #100
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maxlou05
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Sep 20, 2024
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| if not self.waypoint_reached: | ||
| # Moves towards the waypoint | ||
| x_dist = self.waypoint.location_x - report.position.location_x | ||
| y_dist = self.waypoint.location_y - report.position.location_y | ||
| command = commands.Command.create_set_relative_destination_command(x_dist, y_dist) |
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Although this works for the simulation, in real life your drone won't be this precise. Please use the acceptnace_radius to account for minor errors in positioning.
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| if not self.waypoint_reached: | ||
| # Moves towards the waypoint | ||
| x_dist = self.waypoint.location_x - report.position.location_x | ||
| y_dist = self.waypoint.location_y - report.position.location_y | ||
| command = commands.Command.create_set_relative_destination_command(x_dist, y_dist) | ||
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| self.waypoint_reached = True |
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Same here, please use accpetance_radius
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| closest_pad = min( | ||
| landing_pad_locations, key=lambda pad: self.get_distance(report.position, pad) | ||
| ) | ||
| print(f"Closest Landpad: {closest_pad.location_x}, {closest_pad.location_y}") |
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This can be moved to the section where you first reach the waypoint. Right now, it recalculates your landing pad continuously (whenever it stops), which is unnecessary.
| # This func returns a tuple, with whether the operation was a sucess (bool) & the bounding box itself | ||
| successful, box = bounding_box.BoundingBox.create(bounds=boxes_cpu[i]) | ||
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| if successful: |
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Normally, in statistics, we discard the entire data point (the entire image) if one part of it (the bounding box) is invalid.
(You do not need to change anything here, just something to think about)
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