AWS Machine Learning

JULY 11, 2022

LiDAR is a key enabling technology in growing autonomous markets, such as robotics, industrial, infrastructure, and automotive. To implement the solution in this post, you must have the following prerequisites: An AWS account for running the code. Calibration for LiDAR vehicle 5-DOF extrinsic calibration (z is not observable).

Calibration 96

Calibration Engineering Automotive Technology 96

AWS Machine Learning

FEBRUARY 2, 2023

Furthermore, we looked at the probability of a touchdown and probability plots to evaluate calibration. 9.621 47.519 0.265 The following plot of the observed frequencies and predicted probabilities indicates a good calibration of our best model, with an RMSE of 0.27 k10 Baseline 0 4.074 9.62 47.585 0.306 k10 Baseline 5 4.075 9.626 47.43

Calibration 91

Calibration Engineering Big data Automotive 91

AWS Machine Learning

OCTOBER 5, 2022

We explored nearest neighbors, decision trees, neural networks, and also collaborative filtering in terms of algorithms, while trying different sampling strategies (filtering, random, stratified, and time-based sampling) and evaluated performance on Area Under the Curve (AUC) and calibration distribution along with Brier score loss.

Calibration 103

Calibration Engineering Automotive Analytics 103

AWS Machine Learning

JULY 3, 2023

AV/ADAS teams need to label several thousand frames from scratch, and rely on techniques like label consolidation, automatic calibration, frame selection, frame sequence interpolation, and active learning to get a single labeled dataset. Ground Truth supports these features.

Calibration 101

Calibration APIs Scripts Automotive 101