Robotics
IMM-based Multiple Object Tracking using a State Prediction Neural Network
Leveraging neural state prediction to boost radar-based object tracking for safer autonomous navigation.
Object tracking is essential for autonomous vehicles to avoid obstacles and plan routes. Radar maintains detection performance even in adverse weather and can measure relative velocity through the Doppler effect, making it well suited for object tracking. In this paper, we propos...
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ArXiv CS.RO
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ArXiv CS.RO
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Integrating neural network state prediction with IMM algorithms significantly enhances tracking accuracy in complex, real-world traffic scenarios. This hybrid approach overcomes the limitations of traditional linear filters by better managing the non-linear motion patterns of road users.
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