Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving
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Abstract (arXiv)
Our autonomous driving simulation lab produces a high-precision 3D model simulating the parking lot. However, the current model still has poor rendering quality in some aspects. In this work, we develop a system to improve the rendering of the model and evaluate the quality of the rendered model.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 1 Feb 2023.
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5 of 28 references.
References · 5
- 2017NIMA: Neural Image Assessmentcited by 389
- 2016Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessmentcited by 225
- 2020Learning Locomotion Skills in Evolvable Robotscited by 17
- 2022A Semantic Web Technology Indexcited by 16
- 2022Content-Variant Reference Image Quality Assessment via Knowledge Distillationcited by 14
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