Lidar snowfall simulation for robust 3d object detection

M Hahner, C Sakaridis, M Bijelic… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract 3D object detection is a central task for applications such as autonomous driving, in
which the system needs to localize and classify surrounding traffic agents, even in the …

4denoisenet: Adverse weather denoising from adjacent point clouds

A Seppänen, R Ojala, K Tammi - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Reliable point cloud data is essential for perception tasks eg in robotics and autonomous
driving applications. Adverse weather causes a specific type of noise to light detection and …

Survey on lidar perception in adverse weather conditions

M Dreissig, D Scheuble, F Piewak… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Autonomous vehicles rely on a variety of sensors to gather information about their
surrounding. The vehicle's behavior is planned based on the environment perception …

Embedding weather simulation in auto-labelling pipelines improves vehicle detection in adverse conditions

G Broughton, J Janota, J Blaha, T Rouček, M Simon… - Sensors, 2022 - mdpi.com
The performance of deep learning-based detection methods has made them an attractive
option for robotic perception. However, their training typically requires large volumes of data …

智能汽车预期功能安全保障关键技术

邵文博, 李骏, 张玉新, 王红 - 汽车工程, 2022 - qichegongcheng.com
由于性能局限, 规范不足或可合理预见误用导致的预期功能安全问题层出不穷,
严重阻碍了智能汽车的快速发展. 本综述聚焦智能汽车预期功能安全保障关键技术 …

[HTML][HTML] Self-supervised multi-echo point cloud denoising in snowfall

A Seppänen, R Ojala, K Tammi - Pattern Recognition Letters, 2024 - Elsevier
Snowfall can cause noise to light detection and ranging (LiDAR) data. This is a problem
since it is used in many outdoor applications, eg, autonomous driving. We propose the task …

LiDAR-in-the-loop Hyperparameter Optimization

F Goudreault, D Scheuble, M Bijelic… - Proceedings of the …, 2023 - openaccess.thecvf.com
LiDAR has become a cornerstone sensing modality for 3D vision. LiDAR systems emit
pulses of light into the scene, take measurements of the returned signal, and rely on …

Snow removal for LiDAR point clouds with spatio-temporal conditional random fields

W Wang, T Yang, Y Du, Y Liu - IEEE Robotics and Automation …, 2023 - ieeexplore.ieee.org
LiDAR sensors have been extensively used in numerous applications, including
autonomous driving, owing to their ability to generate high-quality 3D point clouds. However …

Toward open benchmark tests for automotive lidars, year 1: static range error, accuracy, and precision

Z Jeffries, JP Bos, P McManamon… - Optical …, 2023 - spiedigitallibrary.org
This paper describes the initial results from the first of 3 years of planned testing aimed at
developing methods, metrics, and targets necessary to develop standardized tests for these …

A Hierarchical LiDAR Simulation Framework Incorporating Physical Attenuation Response in Autonomous Driving Scenarios

T Huang, S Song, H Hu, Y Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a hierarchical LiDAR simulation framework to address the challenges of
accurately simulating LiDAR data in autonomous driving scenarios. The framework utilizes a …