Driving through the Concept Gridlock: Unraveling Explainability
Bottlenecks in Automated Driving

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving

25 October 2023

Julian McAuley

Papers citing "Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving"

8 / 8 papers shown

Title
Embodied Scene Understanding for Vision Language Models via MetaVQA Weizhen Wang Chenda Duan Zhenghao Peng Yuxin Liu Bolei Zhou LM&Ro 44 0 0 17 Jan 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons Michael Pichat William Pogrund Armanush Gasparian Paloma Pichat Samuel Demarchi Michael Veillet-Guillem 42 3 0 26 Dec 2024
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving Yunsheng Ma Amr Abdelraouf Rohit Gupta Ziran Wang Kyungtae Han 31 3 0 16 Sep 2024
Embodied Understanding of Driving Scenarios Yunsong Zhou Linyan Huang Qingwen Bu Jia Zeng Tianyu Li Hang Qiu Hongzi Zhu Minyi Guo Yu Qiao Hongyang Li LM&Ro 62 31 0 07 Mar 2024
DRAMA: Joint Risk Localization and Captioning in Driving Srikanth Malla Chiho Choi Isht Dwivedi Joonhyang Choi Jiachen Li 107 87 0 22 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 319 11,953 0 04 Mar 2022
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 27 128 0 21 Dec 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 204 422 0 01 Feb 2021