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Found 3 papers, 3 papers with code
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
In addition, we introduce a new dataset designed specifically for autonomous-driving scenarios in areas with dense pedestrian populations: the Stanford-TRI Intent Prediction (STIP) dataset.
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
In this work we present JRMOT, a novel 3D MOT system that integrates information from RGB images and 3D point clouds to achieve real-time, state-of-the-art tracking performance.
Ranked #8 on
Multiple Object Tracking
on KITTI Tracking test
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
We present JRDB, a novel egocentric dataset collected from our social mobile manipulator JackRabbot.
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