4 papers · 1 filter
LRC-WeatherNet: LiDAR, RADAR, and Camera Fusion Network for Real-time Weather-type Classification in Autonomous Driving
Nour Alhuda Albashir, Lars Pernickel, Danial Hamoud +2
Autonomous vehicles face major perception and navigation challenges in adverse weather such as rain, fog, and snow, which degrade the performance of LiDAR, RADAR, and RGB camera se…
REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining
Abu Mohammed Raisuddin, Jesper Holmblad, Hamed Haghighi +4
Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, the interference from raindrops can adversely affect the quality of LiDAR point cloud…
Real-Time Manipulation Action Recognition with a Factorized Graph Sequence Encoder
Enes Erdogan, Eren Erdal Aksoy, Sanem Sariel
Recognition of human manipulation actions in real-time is essential for safe and effective human-robot interaction and collaboration. The challenge lies in developing a model that…
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
In this paper, we introduce SalsaNext for the uncertainty-aware semantic segmentation of a full 3D LiDAR point cloud in real-time. SalsaNext is the next version of SalsaNet [1] whi…