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blockage_diag#

Purpose#

To ensure the performance of LiDAR and safety for autonomous driving, the abnormal condition diagnostics feature is needed. LiDAR blockage is abnormal condition of LiDAR when some unwanted objects stitch to and block the light pulses and return signal. This node's purpose is to detect the existing of blockage on LiDAR and its related size and location.

Inner-workings / Algorithms#

This node bases on the no-return region and its location to decide if it is a blockage.

blockage situation

The logic is showed as below

blockage_diag_flowchart

Inputs / Outputs#

This implementation inherits pointcloud_preprocessor::Filter class, please refer README.

Input#

Name Type Description
~/input/pointcloud_raw_ex sensor_msgs::msg::PointCloud2 The raw point cloud data is used to detect the no-return region

Output#

Name Type Description
~/output/blockage_diag/debug/blockage_mask_image sensor_msgs::msg::Image The mask image of detected blockage
~/output/blockage_diag/debug/ground_blockage_ratio tier4_debug_msgs::msg::Float32Stamped The area ratio of blockage region in ground region
~/output/blockage_diag/debug/sky_blockage_ratio tier4_debug_msgs::msg::Float32Stamped The area ratio of blockage region in sky region
~/output/blockage_diag/debug/lidar_depth_map sensor_msgs::msg::Image The depth map image of input point cloud

Parameters#

Name Type Description
blockage_ratio_threshold float The threshold of blockage area ratio
blockage_count_threshold float The threshold of number continuous blockage frames
horizontal_ring_id int The id of horizontal ring of the LiDAR
angle_range vector The effective range of LiDAR
vertical_bins int The LiDAR channel number
model string The LiDAR model
buffering_frames uint The number of buffering [range:1-200]
buffering_interval uint The interval of buffering

Assumptions / Known limits#

  1. Only Hesai Pandar40P and Hesai PandarQT were tested. For a new LiDAR, it is necessary to check order of channel id in vertical distribution manually and modify the code.
  2. The current method is still limited for dust type of blockage when dust particles are sparsely distributed.

(Optional) Error detection and handling#

(Optional) Performance characterization#

(Optional) Future extensions / Unimplemented parts#