Sep 15, 2018 · This paper introduces a multi-vehicle trajectory generator (MTG) that can encode multi-vehicle interaction scenarios (called driving encounters) ...
This paper introduces a multi- vehicle trajectory generator (MTG) that can encode multi- vehicle interaction scenarios (called driving encounters) into an.
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Experimental results demonstrate that the proposed MTG outperforms infoGAN and vanilla VAE in terms of disentangled ability and traffic awareness and can ...
This paper introduces a multi-vehicle trajectory generator (MTG) that can encode multi-vehicle interaction scenarios (called driving encounters) into an ...
Ding et al [11] . proposed a multi-vehicle trajectory generator consisting of a bidirectional encoder and a multi-branch decoder, and the multi-vehicle scenes ...
Sep 18, 2018 · This paper presents an unsupervised learning framework to achieve this. First, we implement variational autoencoder (VAE) to extract ...
Wang, D Zhao. A multi-vehicle trajectories generator to simulate vehicle-to-vehicle encountering scenarios. International Conference on Robotics and ...
Abstract — Generating multi-vehicle trajectories analogous to these in real world can provide reliable and versatile testing scenarios for autonomous vehicles.
Title A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters ; Author Wenhao Ding and Wenshuo Wang and Ding Zhao ; Publisher arXiv ...
Sep 15, 2018 · The proposed method can generate a bunch of human-like multi-vehicle interaction trajectories that can fit different road conditions ...