DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling

X Huang, SG McGill, JA DeCastro… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …

[PDF][PDF] DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

X Huang, SG McGill, JA DeCastro, L Fletcher… - mers-papers.csail.mit.edu
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …

[PDF][PDF] DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

X Huang, SG McGill, JA DeCastro, L Fletcher… - 2020 - ras.papercept.net
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

X Huang, SG McGill, JA DeCastro, L Fletcher… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

X Huang, SG McGill, JA DeCastro, L Fletcher… - arXiv preprint arXiv …, 2019 - arxiv.org
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

X Huang, SG McGill, JA DeCastro, L Fletcher… - 2020 - dspace.mit.edu
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …