Lateral Dead-Reckoning research benchmarks

Benchmarks

Dataset NameSOTA methodMetricTrendResultsLast Updated

ZJH-VO (F-00)

BEV-ODOM2

0.05Median Lateral Error

Jun 4, 2026

ZJH-VO (F-01)

BEV-ODOM2

0.03Median Lateral Error (m)

Jun 4, 2026

ZJH-VO (F-04)

BEV-ODOM

0.04Median Lateral Error (m)

Jun 4, 2026

ZJH-VO F-09

BEV-ODOM2

0.04Median Lateral Error (m)

Jun 4, 2026

NCLT (08-20)

BEV-ODOM2

0.16Median Lateral Error (m)

Jun 4, 2026

NCLT 03-17

BEV-ODOM2

0.14Median Lateral Error (m)

Jun 4, 2026

NCLT (02-19)

BEV-ODOM2

0.13Median Lateral Error (m)

Jun 4, 2026

NCLT (02-02)

BEV-ODOM2

0.17Median Lateral Error (m)

Jun 4, 2026

Oxford (17-12)

BEV-ODOM2

0.37Median Lateral Error (m)

Jun 4, 2026

Oxford (16-14)

BEV-ODOM2

0.33Median Lateral Error (m)

Jun 4, 2026

Oxford (15-13)

BEV-ODOM2

0.33Median Lateral Error (m)

Jun 4, 2026

Oxford (11-12)

BEV-ODOM2

0.36Median Lateral Error (m)

Jun 4, 2026

KITTI (Seq10)

BEV-ODOM2

0.89Median Lateral Error (m)

Jun 4, 2026

KITTI (Seq09)

BEV-ODOM

0.83Median Lateral Error (m)

Jun 4, 2026