Hello
I have two Cahmeleon3 mono cameras and made it work as stereo (as Master Slave) synchronized. I need to use them for long distances object detection and collision avoidance /obstacle detection. The range of the distances is up to 45m. I calibrate them and get intrinsic and extrinsic camera parameters as well. So as the camera focal length is fix by 6mm when apply the formula Distance = focal_length * baseline/disparity I will get big errors by long distances. So please can someone point out some method for long distance calibration or long distance remote sensing so can have accurate depth (within couple of cm error) estimation by long range distances
thanks
Don't think you can get this precision (few cm) at 45 meters with your setup. Check PointGrey error estimates Excel sheet where you can put your own physical dimensions.
https://www.ptgrey.com/Content/Images/uploaded/misc/modifiedstereoaccuracy.xls
https://www.ptgrey.com/support/downloads/10132
I think you would be far better off with Lidar at this range...
not necessary few cm .. can accept also 40-50cm error by 45 m.. or even 80-90 cm.. would be that possible?
At these distances, you're going to have to require a huge baseline (over 1 meter) and even then you'll need to accept a large error using stereo vision. The large baseline will render your system useless on smaller distances, so you'll likely need a multi-baseline system. As previously said: Lidar is likely a better option.