ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving

5 March 2024

Papers citing "ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving"

7 / 7 papers shown

Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 58 5 0 18 Mar 2024
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm Yichen Xie Han Lu Junchi Yan Xiaokang Yang M. Tomizuka Wei Zhan 31 29 0 25 Mar 2023
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 108 190 0 21 Mar 2023
Model-Based Imitation Learning for Urban Driving Anthony Hu Gianluca Corrado Nicolas Griffiths Zak Murez Corina Gurau Hudson Yeo Alex Kendall R. Cipolla Jamie Shotton 102 133 0 14 Oct 2022
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe Hongyang Li Chonghao Sima Jifeng Dai Wenhai Wang Lewei Lu ... Xiaosong Jia Siqian Liu Jianping Shi Dahua Lin Yu Qiao 88 138 0 12 Sep 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 87 291 0 31 May 2022
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 151 194 0 16 Oct 2019