Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment

by   Yizhou Wang, et al.

Radar has long been a common sensor on autonomous vehicles for obstacle ranging and speed estimation. However, as a robust sensor to all-weather conditions, radar's capability has not been well-exploited, compared with camera or LiDAR. Instead of just serving as a supplementary sensor, radar's rich information hidden in the radio frequencies can potentially provide useful clues to achieve more complicated tasks, like object classification and detection. In this paper, we propose a new dataset, named CRUW, with a systematic annotator and performance evaluation system to address the radar object detection (ROD) task, which aims to classify and localize the objects in 3D purely from radar's radio frequency (RF) images. To the best of our knowledge, CRUW is the first public large-scale dataset with a systematic annotation and evaluation system, which involves camera RGB images and radar RF images, collected in various driving scenarios.



There are no comments yet.


page 3

page 8


RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization

Various autonomous or assisted driving strategies have been facilitated ...

GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies

Autonomous systems require a continuous and dependable environment perce...

RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision

Radar is usually more robust than the camera in severe autonomous drivin...

Object Detection and Ranging for Autonomous Navigation of Mobile Robots

In the recent decade, electronic technology gets advanced day by day the...

Radar + RGB Fusion For Robust Object Detection In Autonomous Vehicle

This paper presents two variations of architecture referred to as RANet ...

Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data

A complete overview of the surrounding vehicle environment is important ...

Stairs Detection for Enhancing Wheelchair Capabilities Based on Radar Sensors

Powered wheelchair users encounter barriers to their mobility everyday. ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.