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Found 3 papers, 1 papers with code
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
This work addresses the inherited limitations in the current state-of-the-art 3D multi-object tracking (MOT) methods that follow the tracking-by-detection paradigm, notably trajectory estimation drift for long-occluded objects in LiDAR point cloud streams acquired by autonomous cars.
Ranked #1 on
3D Multi-Object Tracking
on Waymo Open Dataset
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
To address the hurdles faced by existing robotic couriers, this paper introduces a customer-centric and safety-conscious LMD system for small urban communities based on AI-assisted autonomous delivery robots.
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
The proposed solution enables superior performance under various distortion levels in detection over current state-of-art methods.
