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Velat Kilic

2 accepted papers

2025

LiDAR Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

ICASSP 2025accepted

LiDAR-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to adverse weather conditions such as rain, snow and fog due to reduced signal-to-noise ratio (SNR) and signal-to-backgrou…

Cited by 0SourceScholar
2023

Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather

ICRA 2023poster

A domain shift exists between the distributions of large scale, outdoor lidar datasets due to being captured using different types of lidar sensors, in different locations, and under varying weather conditions. Inclement weather in particular affects the quality of lidar data, adding artifacts such…

Cited by 26SourcecodeScholar