Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model

09/11/2022
by   Kyle Retan, et al.
0

This paper presents an approach to radar odometry on SE(3) which utilizes a constant acceleration motion prior. The motion prior is integrated into a sliding window optimization scheme. We use the Magnus expansion to accurately integrate the motion prior while maintaining real-time performance. In addition, we adopt a polar measurement model to better represent radar detection uncertainties. Our estimator is evaluated using a large real-world dataset from a prototype high-resolution radar sensor. The new motion prior and measurement model signifcantly improve odometry performance relative to the constant velocity motion prior and Cartesian measurement model from our previous work, particularly in roll, pitch and height.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/21/2022

What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry

This paper presents a method that leverages vehicle motion constraints t...
research
01/29/2020

Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar

This paper presents a self-supervised framework for learning to detect r...
research
09/18/2018

A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3)

Simultaneous trajectory estimation and mapping (STEAM) offers an efficie...
research
04/07/2022

A Validation Procedure for the Estimation of Reachable Regions in Football

Modelling the trajectorial motion of humans along the ground is a founda...
research
11/06/2020

Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation?

In order to tackle the challenge of unfavorable weather conditions such ...
research
10/11/2017

Robotic Control for Cognitive UWB Radar

In the article, we describe a trajectory planning problem for a 6-DOF ro...
research
03/01/2022

Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry

Masking By Moving (MByM), provides robust and accurate radar odometry me...

Please sign up or login with your details

Forgot password? Click here to reset