Model trained for larger distance not working

[bhaskar-anand-iith]

Hi,

I tried training the model to detect for a larger distance.
I changed the kitti_config.py as follows:

boundary = {
"minX": 0,
"maxX": 100,
"minY": -25,
"maxY": 25,
"minZ": -2.73,
"maxZ": 1.27
}

bound_size_x = boundary['maxX'] - boundary['minX']
bound_size_y = boundary['maxY'] - boundary['minY']
bound_size_z = boundary['maxZ'] - boundary['minZ']

boundary_back = {
"minX": -50,
"maxX": 0,
"minY": -25,
"maxY": 25,
"minZ": -2.73,
"maxZ": 1.27

X-range is increased to 100m. but with this trained model detection is too poor.
Is there any mistake my side?
What is boundary_back?
What are BEV_WIDTH, BEV_HEIGHT and DISCRETIZATION?
Do we need to change these also before training for a larger distance?