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coloradar
The Coloradar dataset includes data from multiple sensors such as LiDAR, single‑chip radar, and cascaded radar, and provides raw ADC samples to support radar signal‑processing techniques. Processed sensor data can be used to generate 3D point clouds, 3D heatmaps, bird‑eye‑view images, and heatmaps derived from raw ADC.
Source
github
Created
Oct 16, 2022
Updated
Dec 28, 2022
Signals
308 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name: Coloradar
Content:
- Sensor Types:
- LiDaR
- Single chip radar
- Cascaded radar
Features:
- Contains raw ADC samples from radar sensors, enabling radar signal‑processing applications.
Supported Functions:
| Sensor | 3D PCL | 3D Heatmap | Bird‑Eye View | Heatmap (from raw ADC) | PCL (from raw ADC) |
|---|---|---|---|---|---|
| LiDaR | x | - | x | - | - |
| Single chip radar | x | x | x | x | x |
| Cascaded radar | - | x | x | x | x |
- PCL: Point Cloud
Structure:
- The dataset consists of multiple subsets, each with an identical folder layout.
- Subsets include:
- 12_21_2020_ec_hallways_run0
- 12_21_2020_ec_hallways_run4
- 2_22_2021_longboard_run1
- 2_23_2021_edgar_army_run5
- 2_24_2021_aspen_run0
- 2_24_2021_aspen_run9
- 2_28_2021_outdoors_run0
- The configuration file
dataset/dataset.jsonmanages subsets and their short codes.
Usage:
- Operate the dataset via the command‑line tool
python coloradar.py, which supports rendering and saving processed data. - Supported functionalities include:
- Rendering 3D point clouds, heatmaps, and bird‑eye‑view images for different sensors.
- Processing and visualising data generated from raw ADC samples.
- Batch processing and output saving.
- Exporting processed files as
.csvor.bin. - Creating animation videos.
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