Hi
I came here via Alexander Grau's blog, in the hope of tracking him down so I can chat to him about his super cool graulidar project! I built a variant on it and used his code, and would like to get some pointers on solving a cloning problem I am having with data points! Basically the arduino code is assigning the same distance measurement to a series of angles when they are actually different, producing multiple small curves rather than lines.
I am an intermediate C programmer and understand more or less what is happening in the code, but cannot for the life of me figure out why I am getting these doppelgangers in my data and whether its code or hardware related. I am using an arduino nano, running Alex's code. The hardware base is quite different, and most of the electronics is the other side of the slip ring, but it still uses a 12 degree graduated encoder as in the original design. If Alex is here or is someone could point me in his direction, that would be a great christmas present!
This is a shot of my lidar build, am aiming to reduce this significantly in size as it currently houses the arduino, protoboard and motor driver which could be made smaller.
Here is a shot of the data visualisation in RVIZ, showing the duplicates as "curving" around the lidar centre.
And this is a snip of the data in rostopic echo where the duplication is a lot clearer.
Once again thank you for the project and the code, which helped more than you can imagine. Looking forward to talking with you!
I came here via Alexander Grau's blog, in the hope of tracking him down so I can chat to him about his super cool graulidar project! I built a variant on it and used his code, and would like to get some pointers on solving a cloning problem I am having with data points! Basically the arduino code is assigning the same distance measurement to a series of angles when they are actually different, producing multiple small curves rather than lines.
I am an intermediate C programmer and understand more or less what is happening in the code, but cannot for the life of me figure out why I am getting these doppelgangers in my data and whether its code or hardware related. I am using an arduino nano, running Alex's code. The hardware base is quite different, and most of the electronics is the other side of the slip ring, but it still uses a 12 degree graduated encoder as in the original design. If Alex is here or is someone could point me in his direction, that would be a great christmas present!
This is a shot of my lidar build, am aiming to reduce this significantly in size as it currently houses the arduino, protoboard and motor driver which could be made smaller.
Here is a shot of the data visualisation in RVIZ, showing the duplicates as "curving" around the lidar centre.
And this is a snip of the data in rostopic echo where the duplication is a lot clearer.
Code:
header:
seq: 5
stamp:
secs: 1545243131
nsecs: 381030082
frame_id: "odom"
angle_min: 0.0
angle_max: 5.28318548203
angle_increment: 0.0174532923847
time_increment: 0.000771604944021
scan_time: 0.0
range_min: 0.0
range_max: 40.0
ranges: 2.9100000858306885, 2.9100000858306885, 2.890000104904175, 2.890000104904175, 2.0399999618530273, 2.0399999618530273, 2.0299999713897705, 2.0299999713897705, 2.559999942779541, 2.559999942779541, 2.5199999809265137, 2.5199999809265137, 2.5199999809265137, 2.5199999809265137, 2.5399999618530273, 2.5399999618530273, 2.549999952316284, 2.549999952316284, 2.569999933242798, 2.569999933242798, 2.430000066757202, 2.430000066757202, 2.190000057220459, 2.190000057220459, 2.200000047683716, 2.200000047683716, 2.200000047683716, 2.259999990463257, 1.3600000143051147, 1.3600000143051147, 1.3600000143051147, 1.340000033378601, 1.309999942779541, 1.309999942779541, 1.350000023841858, 1.350000023841858, 1.3300000429153442, 1.3300000429153442, 1.340000033378601, 1.340000033378601, 1.309999942779541, 1.309999942779541, 1.3300000429153442, 1.3300000429153442, 1.350000023841858, 1.350000023841858, 1.3600000143051147, 1.3600000143051147, 0.0, 1.340000033378601, 1.340000033378601, 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1.399999976158142, 1.3600000143051147, 1.3600000143051147, 1.309999942779541, 1.309999942779541, 1.2899999618530273, 1.2899999618530273, 1.399999976158142, 1.399999976158142, 1.399999976158142, 1.3799999952316284, 1.350000023841858, 1.350000023841858, 0.0, 1.350000023841858, 1.340000033378601, 1.2999999523162842, 1.2999999523162842, 1.2599999904632568, 1.2599999904632568, 0.7200000286102295, 0.7200000286102295, 0.6000000238418579, 0.6000000238418579, 0.5600000023841858, 0.5600000023841858, 0.5600000023841858, 0.5600000023841858, 0.6200000047683716, 0.6200000047683716, 0.6600000262260437, 0.6600000262260437, 0.5899999737739563, 0.5899999737739563, 0.5699999928474426, 0.5699999928474426, 0.0, 0.0, 0.5600000023841858, 0.5600000023841858, 0.6100000143051147, 0.6100000143051147, 0.5699999928474426, 0.5699999928474426, 0.5699999928474426, 0.5699999928474426, 0.5, 0.5899999737739563, 0.6000000238418579, 0.6000000238418579, 0.6499999761581421, 0.6499999761581421, 1.2999999523162842, 1.2999999523162842, 1.7599999904632568, 1.7599999904632568, 1.7599999904632568, 1.7599999904632568, 1.7599999904632568, 1.440000057220459, 1.440000057220459, 1.8300000429153442, 1.8700000047683716, 1.8700000047683716, 1.8700000047683716, 1.8700000047683716, 1.9199999570846558, 1.9199999570846558, 1.940000057220459, 1.940000057220459, 2.0299999713897705, 2.0299999713897705, 0.9300000071525574, 0.9300000071525574, 0.9300000071525574, 0.9200000166893005, 1.0399999618530273, 1.0399999618530273, 1.0399999618530273, 1.0399999618530273, 0.7400000095367432, 0.7699999809265137, 0.8100000023841858, 0.8100000023841858, 0.8100000023841858, 0.8100000023841858, 0.8100000023841858, 0.699999988079071, 0.7300000190734863, 0.7699999809265137, 0.7699999809265137, 0.7699999809265137, 0.7099999785423279, 0.6800000071525574, 0.7200000286102295, 0.7200000286102295, 0.7200000286102295, 0.7200000286102295, 0.6700000166893005, 0.7099999785423279, 0.7400000095367432, 0.7400000095367432, 0.7400000095367432, 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1.399999976158142, 1.4800000190734863, 1.4800000190734863, 1.4800000190734863, 1.6200000047683716, 1.6200000047683716, 1.590000033378601, 1.590000033378601, 1.7000000476837158, 1.7000000476837158, 1.7100000381469727, 1.7100000381469727, 1.690000057220459, 1.690000057220459, 1.6200000047683716, 1.6200000047683716, 1.840000033378601, 1.840000033378601, 1.8899999856948853, 1.8899999856948853, 2.2699999809265137, 2.2699999809265137, 3.180000066757202, 3.240000009536743, 3.240000009536743, 3.240000009536743, 3.240000009536743, 3.1700000762939453, 3.140000104904175, 3.140000104904175, 2.7200000286102295, 2.7200000286102295, 2.7200000286102295, 2.7200000286102295, 2.7200000286102295, 2.7200000286102295, 2.7200000286102295, 3.059999942779541, 3.059999942779541, 2.4200000762939453, 2.4200000762939453, 2.9200000762939453, 2.9200000762939453, 2.8399999141693115, 2.8399999141693115, 2.4100000858306885, 2.4100000858306885, 2.9000000953674316, 2.9000000953674316Once again thank you for the project and the code, which helped more than you can imagine. Looking forward to talking with you!