Search Results for author:
Found 7 papers, 3 papers with code
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments
This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space.
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View
In this paper, we present BirdSLAM, a novel simultaneous localization and mapping (SLAM) system for the challenging scenario of autonomous driving platforms equipped with only a monocular camera.
Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU
To the best of our knowledge, we are the first to accurately forecast trajectories at a very high prediction rate of 78 trajectories per second on CPU.
Multi-object Monocular SLAM for Dynamic Environments
In this paper, we tackle the problem of multibody SLAM from a monocular camera.
INFER: INtermediate representations for FuturE pRediction
Uncharacteristic of state-of-the-art approaches, our representations and models generalize to completely different datasets, collected across several cities, and also across countries where people drive on opposite sides of the road (left-handed vs right-handed driving).
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
The proposed approach significantly improves the state-of-the-art for monocular object localization on arbitrarily-shaped roads.
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios.
Ranked #2 on
3D Multi-Object Tracking
on KITTI
