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Advanced Driving Assistance on A Mobile
Evaluate how to show curvy directions
Maybe use accelerometer to detect centrifugal force
Refer to http://www.cvlibs.net/datasets/kitti/eval_road.php for benchmark results.
For test sets refer to http://benchmark.ini.rub.de
We should use GPS based as it is almost accurate with speeds over 33 Km/h.
Otherwise we must implement an auto-calibration for the camera. In addition to that, it may fail as the world position of the camera as well as it angles may vary due to invariants in the street structure.
Hi Paul,
Sorry to raise an issue here, I had some doubts regarding enabling MACE OpenCL backend on Tflite.
I found a comment of yours on the tensorflow repo that said using MACE as GPU backend improved around 30% speedup of execution.
Can you show me how to enable the same for GPU pipeline or show me some repo where this has been done?
Thanks a lot for your help :)
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