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This is a Experimental Study study (also classified as: Quantitative Study).

September 19, 2025Advanced Intelligent SystemsOpen Access

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

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The proposed system achieves superior tracking accuracy with real-time performance in autonomous driving applications.
It integrates a gaussian mixture model for data association with deep learning for seamless vehicle detection.
Extensive experiments on benchmarks indicate a 1.69% improvement in multiobject tracking precision over prior methods.
The framework addresses occlusions and models object motion effectively in both 2D and 3D environments.

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This framework optimizes object detection and data association in autonomous driving, combining Lidar and camera data.

Altaf et al. (2025) studied this question.

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