Lidar based 3D Tracking and State Estimation of Dynamic Objects
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Abstract (arXiv)
State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle. Our approach focuses on estimating the states of non-ego vehicles which is crucial for Motion planning and decision-making. Dynamic Scene Based Localization: Our project will work on dynamic scenes like moving ego (self) and non-ego vehicles. Previous methods were focused on static environments.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 10 references that are in the map. First posted on arXiv 3 Apr 2023.
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5 of 10 references.
References · 5
- 2019Argoverse: 3D Tracking and Forecasting with Rich Mapscited by 732
- 2022Vision-Centric BEV Perception: A Surveycited by 126
- 2023Vision-RADAR fusion for Robotics BEV Detections: A Surveycited by 14
- 2023Surround-View Vision-based 3D Detection for Autonomous Driving: A Surveycited by 14
- 2023Transformer-Based Sensor Fusion for Autonomous Driving: A Surveycited by 14
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