sejong01.md

July 23, 2024 ยท View on GitHub

MulRan: Sejong01

Experiment summary:

  • Robot: car
  • Sensor: Ouster OS1-64
  • Odometry: KISS-ICP
  • Trajectory length: 23 km
  • Duration: 47 min
  • Mean speed: 12.4 m/s
  • Max speed: 20.3 m/s
  • Results below comptued on: AMD Ryzen 7 PRO 4750U

Graphs' legend from top to bottom:

  • timing (better: higher)
  • compression (better: higher)
  • per-point information in the optimization (better: higher)
  • # of ICP iterations till convergence (better: lower)

Pure KISS-ICP

Results: Unstable with a lot of redundancy in the data.

data vanilla

KISS-ICP preceded by RMS

Results: Low and stable timing+compression, which effectively lowers the # of ICP iterations (registration time lowered 12 times on average!). High level of information preserved.

data rms

APE and RPE comparison

Graphs:

  • blue: KISS-ICP
  • orange: KISS-ICP preceded by RMS

Results: High drift reduction by RMS.

APE

Sampling methodRMSE (m)mean (m)median (m)max (m)
Voxelization7100651178159581
RMS2230195323523292

ape rms

RPE

Sampling methodRMSE (m)mean (m)median (m)max (m)
Voxelization17.94.32.71311.6
RMS3.12.92.621.6

rpe rms

Example sampling of a single frame

frame