Multi-task Network for Panoptic Segmentation in Automated Driving-Reference-Cited by-同舟云学术

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Multi-task Network for Panoptic Segmentation in Automated Driving

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Author:

Petrovai Andra,Nedevschi Sergiu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8907344/8916833/08917422.pdf?arnumber=8917422

Cited by 13 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. BEE-Net: Bridging Semantic and Instance with Gated Encoding and Edge Constraint for Efficient Panoptic Segmentation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. RS DINO: A Novel Panoptic Segmentation Algorithm for High Resolution Remote Sensing Images;2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2023-07-25

3. IDS-MODEL: An efficient multi-task model of road scene instance and drivable area segmentation for autonomous driving;IEEE Transactions on Transportation Electrification;2023

4. Panoptic Image Segmentation through Unet combined with Melody Search Optimization Algorithm for the Realistic Scene Image Understanding;2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2022-12-01

5. Panoptic Based Camera and Lidar Fusion for Distance Estimation in Autonomous Driving Vehicles;SAE Technical Paper Series;2022-10-05

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