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Found 4 papers, 2 papers with code
Heterogeneous Treatment Effects and Causal Mechanisms
This paper develops a framework to understand when the existence of such heterogeneous treatment effects can support inferences about the activation of a mechanism.
InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers
Planning and prediction are two important modules of autonomous driving and have experienced tremendous advancement recently.
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Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
To enable better integration of satellite maps with existing methods, we propose a hierarchical fusion module, which includes feature-level fusion and BEV-level fusion.
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
The resulting policy directly infers control commands with feature representations learned from raw images, forgoing the need for globally-consistent state estimation, trajectory planning, and handcrafted control design.
