Evaluation of Kalman and Unscented Kalman Filters for Multiple Object Tracking in ADAS Applications using the KITTI Dataset

A. O. Varghese; Elizabeth Aji; Elsa Susan Jain; Megha Shaju; J. P.; Jobymol Jacob; F. Sagayaraj Francis

doi:10.1109/ictest64710.2025.11042293

ScienceGate Book Chapters

JOURNAL ARTICLE

Evaluation of Kalman and Unscented Kalman Filters for Multiple Object Tracking in ADAS Applications using the KITTI Dataset

A. O. Varghese Elizabeth Aji Elsa Susan Jain Megha Shaju J. P.Jobymol Jacob F. Sagayaraj Francis

Year: 2025 Pages: 1-8

DOI: 10.1109/ictest64710.2025.11042293

Get Full-Text PDF Get Analytical Report

Keywords:

Kalman filter Fast Kalman filter Computer science Computer vision Artificial intelligence Moving horizon estimation Tracking (education) Extended Kalman filter Unscented transform Object (grammar) Psychology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.19

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Evaluation of Kalman and Unscented Kalman Filters for Multiple Object Tracking in ADAS Applications using the KITTI Dataset

Metrics

Topics

Related Documents

Underwater Object Tracking using Unscented Kalman Filter

Multiple plane tracking using Unscented Kalman Filter

FILTERING METEOROID FLIGHTS USING MULTIPLE UNSCENTED KALMAN FILTERS

3D object tracking using three Kalman filters

Interacting multiple sensor unscented Kalman filter for accelerating object tracking