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How to implement vehicle following and vehicle passing using Autoware stack #837
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Is your testbed a real vehicle? |
yes From: sgzzgit [mailto:notifications@github.com] Is your testbed a real vehicle? — |
I am trying to achieve that too.However there is still no progress. |
Anyone concerns this question? |
I would like an answer to the question. Regards Nandini From: sgzzgit [mailto:notifications@github.com] Anyone concerns this question? — |
It seems that you have solved this problem,is it? @nsakar |
Vehicle following and collision avoidance using vscan points : Yes Vehicle passing : No. Need more information. From: sgzzgit [mailto:notifications@github.com] It seems that you have solved this problem,is it? @nsakarhttps://github.com/nsakar — |
You detected obstacle using velodyne vlp-16? |
Yes. I am able to detect all obstacles that are within detection range of waypoints and within height interval [ hc – hf] From: sgzzgit [mailto:notifications@github.com] You detected obstacle using velodyne vlp-16? — |
Hi @nsakar ,I read the source code of vscan, I don't understand the meaning of rotlength,rotheight,and maxBackDistance and svsback,can you help me? Thank you for advance! |
@alexanderhmw, are you online?
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Hi Kato-sensei , i am traveling now. I will add comment to vscan soon after getting back Sent from my iPhone
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Thx!
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Please check https://github.com/CPFL/Autoware/issues/394. Yes the heights are on the z axis.
rot* is the corresponding length and height after rotating the coordinate (Fig. 3 right) for downslope obstacle detection. The paper present on researchgate is not the latest version. Please check IV16 for the camera-ready version. maxBackDistance and svsback are kind of patch to solve the overhung obstacle bug. They will keep the extension of road surface from the interruption of near overhung obstacles. |
I would like to implement vehicle following where the car as a robot reduces speed depending on moving car in front. What ros nodes will help implement this?
I would like to also implement vehicle passing wherein if there is a stationary object on trajectory, then car will pass it. How do I implement this?
Also is it possible to use only lidar and euclieden clustering for object detection and then influence velocity_set node to make decisions on stopping or resuming driving?
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