Learning from All Vehicles-Reference-Cited by-同舟云学术

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Learning from All Vehicles

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Chen Dian¹,Krahenbuhl Philipp¹

Affiliation:

1. UT Austin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879043.pdf?arnumber=9879043

Reference54 articles.

1. Erfnet: Efficient residual factorized convnet for real-time semantic segmentation;romera;ITS,2017

2. Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

3. Microscopic traffic simulation using sumo;alvarez lopez;ITSC,2018

4. Deep continuous fusion for multi-sensor 3d object detection;liang;ECCV,2018

5. HDMapNet: An Online HD Map Construction and Evaluation Framework

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1. Image Analysis in Autonomous Vehicles: A Review of the Latest AI Solutions and Their Comparison;Applied Sciences;2024-09-11

2. Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. A proxy-data-based hierarchical adversarial patch generation method;Computer Vision and Image Understanding;2024-09

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

5. RobustE2E: Exploring the Robustness of End-to-End Autonomous Driving;Electronics;2024-08-20

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