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CHANGELOG.rst 2.24 KB
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Praveen Palanisamy 提交于 2021-08-29 10:42 . 1.0.4

Changelog for package multi_object_tracking_lidar

1.0.4 (2021-08-29)

  • Merge pull request #46 from praveen-palanisamy/rm-topic-slash-prefix Remove topic slash prefix
  • Apply clang-format-10
  • Rm slash prefix (deprecated in TF2)
  • Add note to filter NaNs in input point clouds
  • Contributors: Praveen Palanisamy

1.0.3 (2020-06-27)

  • Merge pull request #26 from artursg/noetic-devel C++11 --> C++14 to allow compiling with later versions of PCL, ROS Neotic
  • Compiles under ROS Noetic
  • Merge pull request #25 from praveen-palanisamy/add-license-1 Add MIT LICENSE
  • Add LICENSE
  • Merge pull request #24 from mzahran001/patch-1 Fix broken hyperlink to wiki page in README
  • Fixing link error
  • Updated README to make clustering approach for 3D vs 2D clear #21
  • Added DOI and citing info
  • Contributors: Artur Sagitov, Mohamed Zahran, Praveen Palanisamy

1.0.2 (2019-12-01)

  • Added link to wiki pages
  • Updated readme with suuported pointcloud sources
  • Updated README to clarify real, sim, dataset LiDAR data
  • Contributors: Praveen Palanisamy

1.0.1 (2019-04-26)

  • Fixed cv_bridge build depend
  • Removed indirection op to be compatible with OpenCV 3+
  • Added visualization_msgs & cv_bridge build & run dependencies
  • Contributors: Praveen Palanisamy

1.0.0 (2019-04-13)

  • Updated README with usage instructions
  • Renamed node name to kf_tracker to match bin name
  • Changed package name to multi_object_tracking_lidar
  • Updated package info & version num
  • Updated with a short demo on sample AV LIDAR scans
  • Added README with a short summary of the code
  • Working state of Multiple object stable tracking using Lidar scans with an extended Kalman Filter (rosrun kf_tracker tracker). A naive tracker is implemented in main_naive.cpp for comparison (rosrun kf_tracker naive_tracker).
  • v2. Unsupervised clustering is incorporated into the same node (tracker).
  • v1. Object ID/data association works. In this version PCL based unsupervised clustering is done separately.
  • Contributors: Praveen Palanisamy
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