Amanote Research

Amanote Research

    RegisterSign In

Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models

doi 10.1109/ivs.2019.8814081
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2019

Authors
Philipp RosenbergerMartin HolderSebastian HuchHermann WinnerTobias FleckMarc Rene ZofkaJ. Marius ZollnerThomas D'hondtBenjamin Wassermann
Publisher

IEEE


Related search

Automotive LiDAR: Challenges and Opportunities

2017English

Automotive Rank Based ELM Using Iterative Decomposition

International Journal of Intelligent Engineering and Systems
EngineeringComputer Science
2019English

Functional Decomposition of Polynomials

1987English

Benchmarking Operational Risk Stress Testing Models

Finance and Economics Discussion Series
2019English

Automotive Crash Insight Using AMR Sensor System

IJARCCE
2015English

UAS TOPOGRAPHIC MAPPING WITH VELODYNE LiDAR SENSOR

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2016English

Benchmarking Collective Motion Predictions of Elastic Network Models

Biophysical Journal
Biophysics
2014English

Lidar Intensity as a Remote Sensor of Rock Properties

Journal of Sedimentary Research
Geology
2011English

Models for Automotive Fuel Droplets Heating and Evaporation

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy