multi-target-tracking

ESP32 + LD2450 24GHz mmWave radar multi-target intrusion detection with Home Assistant integration

多目标跟踪论文算法整理

Multi-sensor multi-target tracking system for harbour surveillance. Fuses mm-wave radar, stereo camera, AIS and GNSS via an Extended Kalman Filter with Hungarian (GNN) data association and M-of-N track lifecycle. Validated on simulated scenarios and real Copenhagen harbour recordings.

Recursive Bayesian estimation, filtering, and tracking on Euclidean spaces and manifolds in Python.

Isolated testbed measuring how network/sensor effects propagate through a sensing → network → fusion → decision pipeline, using replayed AIS data.

From-scratch sensor fusion labs in C++ and Python: lidar obstacle detection, camera time-to-collision, FMCW radar, and KF/EKF/UKF fusion — every algorithm hand-written, every sensor simulated.

Radar-camera sensor fusion and multi-target tracking with EKF, IMM, data association, and radar-outage handling.

Portfolio of physical-AI and edge-autonomy projects: multi-sensor fusion tracking, Jetson edge sensing, RF signal ML, air-gapped edge LLMs, secure Rust firmware, and edge MLOps. Each is measured, not just demoed: latency, power, accuracy, and failure modes. Public data and unclassified scenarios only. Receive-only RF.

Multi-sensor fusion tracking for counter-UAS in Rust: simulator, EKF, and (planned) classical vs. learned association benchmarks.

Highly-efficient implementation of several Multi-Target Tracking (MTT) algorithms along with utilities for standard MTT pipeline

CNN clutter classifier upstream of TO-MHT for optical RSO tracking, 13.3x speedup

EW-Resilient Autonomous Threat Estimation & Multi-Sensor Fusion Engine using Cross-Attention Transformers, PINN & JSBSim 6-DoF Dynamics.

Multi-target tracking from the filter up: IMM estimator, JPDA data association, sequential track scoring, and OSPA evaluation that reports where each approach loses