Dense Hybrid Proposal Modulation for Lane Detection
Author:
Affiliation:
1. School of Automation, Beijing University of Posts and Telecommunications, Beijing, China
2. Department of Automation, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10297951/10109886.pdf?arnumber=10109886
Reference57 articles.
1. End-to-end Lane Shape Prediction with Transformers
2. EL-GAN: Embedding loss driven generative adversarial networks for lane detection;ghafoorian;Proc ECC,2018
3. PolyLaneNet: Lane Estimation via Deep Polynomial Regression
4. Lane Detection in Low-light Conditions Using an Efficient Data Enhancement: Light Conditions Style Transfer
5. Semantic instance segmentation with a discriminative loss function;de brabandere;arXiv 1708 02551,2017
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1. DALNet: A Rail Detection Network Based on Dynamic Anchor Line;IEEE Transactions on Instrumentation and Measurement;2024
2. StructLane: Leveraging Structural Relations for Lane Detection;IEEE Transactions on Image Processing;2024
3. Robust Real-Time Curb Detection for Autonomous Sanitation Vehicles;2023 IEEE International Conference on Unmanned Systems (ICUS);2023-10-13
4. Oblique Convolution: A Novel Convolution Idea for Redefining Lane Detection;IEEE Transactions on Intelligent Vehicles;2023
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