Nov 2, 2020 · In this paper, we propose an end-to-end self-driving network featuring a sparse attention module that learns to automatically attend to important regions of ...
Abstract—In this paper, we propose an end-to-end self- driving network featuring a sparse attention module that learns to automatically attend to important ...
In simulations, safety metrics measure the number of collisions or infractions and the distance traveled between them [222], [229], whereas on pre-recorded data ...
A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and ...
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Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. B Wei, M Ren, W Zeng, M Liang, B Yang, R Urtasun. ICRA 2021, 2020. 46, 2020. Self ...
Nov 2, 2020 · In this paper, we propose an end-to-end self-driving network featuring a sparse attention module that learns to automatically attend to ...
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving ... In this paper, we propose an end-to-end self-driving network ...
Perceive, attend, and drive: Learning spatial attention for safe self-driving ... Systems and Methods for Using Attention Masks to Improve Motion Planning.
Jun 23, 2024 · We introduce DriveVLM, an autonomous driving system leveraging Vision-Language Models (VLMs) for enhanced scene understanding and planning capabilities.
Perceive, attend, and drive: Learning spatial attention for safe self-driving. Bob Wei * , Mengye Ren * , Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun ...