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Found 7 papers, 2 papers with code
Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning
This severely hinders the testing and evaluation process, especially for third-party testers and governmental bodies with very limited testing budgets.
MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
In this work, we present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
To alleviate the considerable uncertainty inherent in a small testing scenario set, we frame the FST problem as an optimization problem and search for the testing scenario set based on neighborhood coverage and similarity.
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
We present a new method for generating realistic and view-consistent images with fine geometry from 2D image collections.
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
Realistic human-centric rendering plays a key role in both computer vision and computer graphics.
Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates
One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their safety performances.
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios
To validate the proposed method, the high-dimensional overtaking scenarios are investigated, and the results demonstrate that our approach can further accelerate the evaluation process by about 30 times.
