Label Efficient Visual Abstractions for Autonomous Driving-Reference-Cited by-同舟云学术

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Label Efficient Visual Abstractions for Autonomous Driving

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Behl Aseem,Chitta Kashyap,Prakash Aditya,Ohn-Bar Eshed,Geiger Andreas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09340641.pdf?arnumber=9340641

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Contextual Representation and Multi-modality for End-to-end Autonomous Driving;Engineering Applications of Artificial Intelligence;2024-09

2. Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Res-FLNet: human-robot interaction and collaboration for multi-modal sensing robot autonomous driving tasks based on learning control algorithm;Frontiers in Neurorobotics;2023-10-02

4. Multi-modal policy fusion for end-to-end autonomous driving;Information Fusion;2023-10

5. XVO: Generalized Visual Odometry via Cross-Modal Self-Training;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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