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https://github.com/HViktorTsoi/FAST_LIO_LOCALIZATION.git
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update readme
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@@ -118,4 +118,5 @@ Thanks for the authors of [FAST-LIO](https://github.com/hku-mars/FAST_LIO) and [
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## TODO
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## TODO
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1. Go over the timestamp issue of the published odometry and tf;
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1. Go over the timestamp issue of the published odometry and tf;
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2. Using integrated points for global localization;
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2. Using integrated points for global localization;
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3. Updating...
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3. Fuse global localization with the state estimation of FAST-LIO, and smooth the localization trajectory;
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4. Updating...
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@@ -222,18 +222,16 @@ if __name__ == '__main__':
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# Global localization frequency (HZ)
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# Global localization frequency (HZ)
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FREQ_LOCALIZATION = 0.5
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FREQ_LOCALIZATION = 0.5
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# tf and localization publishing frequency (HZ)
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# The threshold of global localization,
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FREQ_PUB_LOCALIZATION = 50
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# only those scan2map-matching with lower fitness than LOCALIZATION_TH will be taken
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# 全局定位的fitness预支
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LOCALIZATION_TH = 0.2
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LOCALIZATION_TH = 0.2
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# FOV内的最远距离
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# FOV(rad), modify this according to your LiDAR type
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FOV_FAR = 300
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# FOV范围(rad)
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FOV = 1.6
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FOV = 1.6
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# The farthest distance(meters) within FOV
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FOV_FAR = 300
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rospy.init_node('fast_lio_localization')
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rospy.init_node('fast_lio_localization')
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rospy.loginfo('Localization Node Inited...')
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rospy.loginfo('Localization Node Inited...')
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