Lidar-based road grade estimation yields unbiased error with 0.6° standard deviation at 52.7 m average range, comparable to map-based references in field tests.
Real-Time Dynamic Mass Learning Algorithm for Connected and Automated Light-Duty Vehicles,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Comparison of Road Grade Preview Signals from Lidar and Maps
Lidar-based road grade estimation yields unbiased error with 0.6° standard deviation at 52.7 m average range, comparable to map-based references in field tests.