4 citations · 4 across the 4 of their papers we have counts for
6 papers
MultiFly: A Real-World Multimodal Aerial Dataset with Annotation-Efficient Label Transfer and Cross-Modal Semantic Consistency
Markus Gross, Andreas Greiner, Taehyoung Kim +12
We introduce MultiFly, a real-world, low-altitude UAV dataset for semantic perception across RGB, thermal, LiDAR, and radar modalities. MultiFly provides 17,272 synchronized sample…
Hardware-triggered Time Synchronization of Roadside Multi-lidar, Multi-camera Measurement System for Accurate Data Alignment
Shiva Agrawal, Savankumar Bhanderi, Zhiran Yan +1
Accurate temporal alignment of heterogeneous sensors is necessary for reliable environment perception in roadside multi-lidar, multi-camera systems, particularly in dense urban tra…
Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization
Zhiran Yan, Yutong Xin, S Shyam Shenoi +2
Autonomous vehicles often rely on high-definition (HD) maps for navigation; however, these maps are not frequently updated and often lack semi-static information, such as temporary…
Road-Aware Anomaly Segmentation with Query-Guided Polygons and CLIP in Autonomous Driving
Zhiran Yan, Gordon Elger
Traditional semantic segmentation models operate under a closed-set assumption and struggle to recognize unknown or unexpected objects-an essential capability for autonomous drivin…
Applying Extended Object Tracking for Self-Localization of Roadside Radar Sensors
Longfei Han, Qiuyu Xu, Klaus Kefferpütz +2
Intelligent Transportation Systems (ITS) can benefit from roadside 4D mmWave radar sensors for large-scale traffic monitoring due to their weatherproof functionality, long sensing…
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis
Longfei Han, Qiuyu Xu, Klaus Kefferpütz +3
4D mmWave radar sensors are suitable for roadside perception in city-scale Intelligent Transportation Systems (ITS) due to their long sensing range, weatherproof functionality, sim…