coloradar

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.

Updated 12/28/2022

github

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.json manages 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 .csv or .bin.
- Creating animation videos.

Description

Dataset Overview

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