Exploring Latent Pathways: Enhancing the Interpretability of Autonomous
Driving with a Variational Autoencoder

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder

2 April 2024

Alexander Amini

Ramin Hasani

Patrick Chareyre

Daniela Rus

Papers citing "Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder"

5 / 5 papers shown

Title
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model Ludan Zhang Xiaokang Ding Yuqi Dai Lei He Keqiang Li 27 0 0 18 Sep 2024
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering Fouad Makiyeh Mark Bastourous Anass Bairouk Wei Xiao Mirjana Maras Tsun-Hsuan Wangb Marc Blanchon Ramin Hasani Patrick Chareyre Daniela Rus 23 2 0 18 Sep 2024
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference Huy-Dung Nguyen Anass Bairouk Mirjana Maras Wei Xiao Tsun-Hsuan Wang Patrick Chareyre Ramin Hasani Marc Blanchon Daniela Rus 51 1 0 16 Sep 2024
VAD: Vectorized Scene Representation for Efficient Autonomous Driving Bo Jiang Shaoyu Chen Qing Xu Bencheng Liao Jiajie Chen Helong Zhou Qian Zhang Wenyu Liu Chang Huang Xinggang Wang 110 195 0 21 Mar 2023
Posterior Collapse and Latent Variable Non-identifiability Yixin Wang David M. Blei John P. Cunningham CML DRL 83 72 0 02 Jan 2023