StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection-Reference-Cited by-同舟云学术

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StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection

Published:2024-06-02 Issue: Volume:68 Page:2154-2161
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Vosshans Marcel¹,Ait-Aider Omar²,Mezouar Youcef²,Enzweiler Markus¹

Affiliation:

1. University of Applied Sciences Esslingen,Institute for Intelligent Systems Which is Part of the Faculty of Computer Science and Engineering,Germany

2. Universite Clermont Auvergne INP / CNRS,Institut Pascal ISPR (Image, Systems of Perception, Robotics),France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588680.pdf?arnumber=10588680

Reference30 articles.

1. How Autonomous Vehicles Work: the Self-Driving Stack,2023

2. The Stixel World: A medium-level representation of traffic scenes;Cordts,2017

3. StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation;Levi

4. The Stixel World A Compact Medium Level Representation of the 3D-World;Badino,2009

5. Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data;Pfeiffer

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