most citedActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection

17 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset

Walter Zimmer, Ross Greer, Xingcheng Zhou +7

Even though a significant amount of work has been done to increase the safety of transportation networks, accidents still occur regularly. They must be understood as an unavoidable…

cs.CV2025

Towards Vision Zero: The TUM Traffic Accid3nD Dataset

Walter Zimmer, Ross Greer, Daniel Lehmberg +9

Even though a significant amount of work has been done to increase the safety of transportation networks, accidents still occur regularly. They must be understood as unavoidable an…

cs.CV2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors

Walter Zimmer, Ross Greer, Xingcheng Zhou +7

Road traffic injuries are the leading cause of death for people aged 5-29, resulting in about 1.19 million deaths each year. To reduce these fatalities, it is essential to address…

cs.CV2024

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection

Sondos Mohamed, Walter Zimmer, Ross Greer +6

Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditi…

cs.CV2024★ 17 cited

ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection

Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer +5

The curation of large-scale datasets is still costly and requires much time and resources. Data is often manually labeled, and the challenge of creating high-quality datasets remai…