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Found 4 papers, 0 papers with code
Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression
We show that by leveraging unlabeled sequences, the amount of labeled data required can be significantly reduced.
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
In this work, we address the problem in its entirety and propose a complete system for real-time aerial cinematography that for the first time combines: (1) vision-based target estimation; (2) 3D signed-distance mapping for occlusion estimation; (3) efficient trajectory optimization for long time-horizon camera motion; and (4) learning-based artistic shot selection.
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
This paves the way for the industry to jointly design hardware and software architectures as well as large fleets with heterogeneous configurations.
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
The code for training and testing our model on a public prediction dataset and the video of the road test are available at https://woven. mobi/safepathnet
