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[Feature] Evaluating tracking accuracy based on KITTI data #1671

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merged 16 commits into from
Nov 1, 2018

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k0suke-murakami
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@k0suke-murakami k0suke-murakami commented Oct 30, 2018

Status

DEVELOPMENT

Description

This PR enables imm_ukf_pda_track to dump result file for evaluation based on KITTI data. autowarefoundation/autoware_ai#266

Please check this repo about how to evaluate tracking result.

This PR modify tiny part in imm_ukf_pda in order to fit above evaluation scripts.

@yn-mrse yn-mrse self-requested a review November 1, 2018 09:17
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Great!
Please add readme about evaluation tool and startup tool.

tf::Quaternion q(detected_objects.objects[i].pose.orientation.x, detected_objects.objects[i].pose.orientation.y,
detected_objects.objects[i].pose.orientation.z, detected_objects.objects[i].pose.orientation.w);
double roll, pitch, yaw;
tf::Matrix3x3(q).getRPY(roll, pitch, yaw);
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You can abbreviate the code by using tf::getYaw in "tf/transform_datatypes.h".
http://docs.ros.org/melodic/api/tf/html/c++/transform__datatypes_8h.html

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I fixed here by using tf::getYaw. Plus, added benchmark description in README.md

@k0suke-murakami k0suke-murakami merged commit c0b152d into develop Nov 1, 2018
@k0suke-murakami k0suke-murakami deleted the feature/kitti_benchmark_for_tracking branch March 15, 2019 08:20
anubhavashok pushed a commit to NuronLabs/autoware.ai that referenced this pull request Sep 7, 2021
@mitsudome-r mitsudome-r added the version:autoware-ai Autoware.AI label Jun 14, 2022
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4 participants