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[免费] reve.zip
资源来源:本地上传资源
文件类型:ZIP
大小:5.77MB
评分:
5.0
上传者:qq_40301351
更新日期:2024-08-18

RANSAC 和最小二乘法实现雷达自我速度估计

资源文件列表(大概)

文件名
大小
reve/
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reve/.clang-format
2.36KB
reve/.gitignore
455B
reve/LICENSE
34.33KB
reve/README.md
5.14KB
reve/.git/
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reve/.git/config
303B
reve/.git/description
73B
reve/.git/HEAD
23B
reve/.git/packed-refs
114B
reve/.git/index
6.77KB
reve/.git/info/
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reve/.git/info/exclude
240B
reve/.git/branches/
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reve/.git/hooks/
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reve/.git/hooks/prepare-commit-msg.sample
1.46KB
reve/.git/hooks/pre-applypatch.sample
424B
reve/.git/hooks/update.sample
3.53KB
reve/.git/hooks/fsmonitor-watchman.sample
3.01KB
reve/.git/hooks/pre-merge-commit.sample
416B
reve/.git/hooks/pre-receive.sample
544B
reve/.git/hooks/pre-rebase.sample
4.78KB
reve/.git/hooks/applypatch-msg.sample
478B
reve/.git/hooks/pre-commit.sample
1.6KB
reve/.git/hooks/pre-push.sample
1.32KB
reve/.git/hooks/commit-msg.sample
896B
reve/.git/hooks/post-update.sample
189B
reve/.git/refs/
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reve/.git/refs/heads/
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reve/.git/refs/heads/master
41B
reve/.git/refs/tags/
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reve/.git/refs/remotes/
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reve/.git/refs/remotes/origin/
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reve/.git/refs/remotes/origin/HEAD
32B
reve/.git/objects/
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reve/.git/objects/pack/
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reve/.git/objects/pack/pack-ecf5a75c287282fa7a355493beb16b35fc6e15e7.pack
2.86MB
reve/.git/objects/pack/pack-ecf5a75c287282fa7a355493beb16b35fc6e15e7.idx
4.52KB
reve/.git/objects/info/
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reve/.git/logs/
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reve/.git/logs/HEAD
201B
reve/.git/logs/refs/
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reve/.git/logs/refs/remotes/
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reve/.git/logs/refs/remotes/origin/
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reve/.git/logs/refs/remotes/origin/HEAD
201B
reve/.git/logs/refs/heads/
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reve/.git/logs/refs/heads/master
201B
reve/demo_datasets/
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reve/demo_datasets/calib_rio.yaml
617B
reve/demo_datasets/calib_ti_mmwave_rospkg.yaml
551B
reve/demo_datasets/demo_rio_format.bag
4.72MB
reve/demo_datasets/demo_ti_mmwave_rospkg_format.bag
3.85MB
reve/radar_ego_velocity_estimator/
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reve/radar_ego_velocity_estimator/CMakeLists.txt
2.06KB
reve/radar_ego_velocity_estimator/package.xml
831B
reve/radar_ego_velocity_estimator/cfg/
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reve/radar_ego_velocity_estimator/cfg/RadarEgoVelocityEstimator.cfg
398B
reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/
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reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/__init__.py
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reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/radar_ego_velocity_estimator.py
3.15KB
reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/__pycache__/
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reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/__pycache__/__init__.cpython-38.pyc
206B
reve/radar_ego_velocity_estimator/cfg/cfg_radar_ego_velocity_estimation/__pycache__/radar_ego_velocity_estimator.cpython-38.pyc
2.75KB
reve/radar_ego_velocity_estimator/config/
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reve/radar_ego_velocity_estimator/config/params_demo_dataset.yaml
1.83KB
reve/radar_ego_velocity_estimator/include/
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reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/
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reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/data_types.h
3.12KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/math_helper.h
1.12KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/odr.h
2.42KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/radar_body_velocity_estimator.h
2.35KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/radar_body_velocity_estimator_ros.h
4.14KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/radar_ego_velocity_estimator.h
7.21KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/radar_ego_velocity_estimator_ros.h
3.66KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/radar_point_cloud.h
1.8KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/ros_helper.h
1.9KB
reve/radar_ego_velocity_estimator/include/radar_ego_velocity_estimator/simple_profiler.h
3.35KB
reve/radar_ego_velocity_estimator/launch/
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reve/radar_ego_velocity_estimator/launch/demo_rio_body_velocity.launch
2.35KB
reve/radar_ego_velocity_estimator/launch/demo_rio_ego_velocity.launch
2.45KB
reve/radar_ego_velocity_estimator/launch/demo_ti_mmwave_body_velocity.launch
2.36KB
reve/radar_ego_velocity_estimator/launch/demo_ti_mmwave_ego_velocity.launch
2.23KB
reve/radar_ego_velocity_estimator/python/
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reve/radar_ego_velocity_estimator/python/velocity_estimation_evaluator.py
5.7KB
reve/radar_ego_velocity_estimator/src/
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reve/radar_ego_velocity_estimator/src/odr.cpp
10.99KB
reve/radar_ego_velocity_estimator/src/radar_body_velocity_estimator.cpp
6.39KB
reve/radar_ego_velocity_estimator/src/radar_body_velocity_estimator_ros.cpp
8.45KB
reve/radar_ego_velocity_estimator/src/radar_ego_velocity_estimator.cpp
17.14KB
reve/radar_ego_velocity_estimator/src/radar_ego_velocity_estimator_ros.cpp
6.76KB
reve/radar_ego_velocity_estimator/src/radar_point_cloud.cpp
7.08KB
reve/radar_ego_velocity_estimator/src/simple_profiler.cpp
5.03KB
reve/radar_ego_velocity_estimator/src/nodes/
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reve/radar_ego_velocity_estimator/src/nodes/radar_body_velocity_estimation_ros_node.cpp
1.17KB
reve/radar_ego_velocity_estimator/src/nodes/radar_body_velocity_estimation_rosbag_node.cpp
1.74KB
reve/radar_ego_velocity_estimator/src/nodes/radar_ego_velocity_estimation_ros_node.cpp
1.16KB
reve/radar_ego_velocity_estimator/src/nodes/radar_ego_velocity_estimation_rosbag_node.cpp
1.73KB
reve/radar_ego_velocity_estimator/src/odrpack/
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reve/radar_ego_velocity_estimator/src/odrpack/d_lpk.f
38.84KB
reve/radar_ego_velocity_estimator/src/odrpack/d_mprec.f
5.3KB
reve/radar_ego_velocity_estimator/src/odrpack/d_odr.f
359.26KB
reve/radar_ego_velocity_estimator/src/odrpack/d_test.f
69.1KB
reve/radar_ego_velocity_estimator/src/odrpack/dlunoc.f
260B
reve/radar_ego_velocity_estimator/src/odrpack/lpkbls.f
68.77KB
reve/radar_ego_velocity_estimator/src/odrpack/odrpack_guide.pdf
550.31KB
reve/radar_ego_velocity_estimator/src/odrpack/real_precision.f
172B
reve/res/
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reve/res/demo_rio_format_v_body.jpeg
198.86KB
reve/res/demo_rio_format_v_body_err.jpeg
250.92KB
reve/res/demo_rio_format_v_radar.jpeg
194.55KB

资源内容介绍

github上的免费下载雷达自我速度估计:使用 RANSAC 和最小二乘法的 C++ 实现在自动驾驶和机器人领域,雷达传感器是一种重要的设备,用于检测物体的位置和速度。本文将介绍如何通过 C++ 代码实现雷达自我速度估计。我们的实现结合了 RANSAC(随机采样一致性算法)和最小二乘法,以在含噪声的数据中进行鲁棒的速度估计。代码结构本文的代码实现包含两个主要部分:estimate 函数:处理雷达扫描数据并进行速度估计。solve3DFullRansac 和 solve3DFull 函数:使用 RANSAC 和最小二乘法进行速度估计。

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