1 citations · 1 across the 4 of their papers we have counts for
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Auto-Labelling-Based Domain Transfer for 3D Object Detection on a Bicycle-Mounted LiDAR Platform
Mario Finkbeiner, Max A. Buettner, Kanak Mazumder +1
Reliable 3D perception of vulnerable road users (VRUs) such as cyclists and pedestrians is essential for their safety in urban traffic and a core requirement for autonomous driving…
LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation
Kanak Mazumder, Fabian B. Flohr
Online High-Definition (HD) map construction is a key component of autonomous driving. Recent methods rely on multi-view camera images for cost-effective HD map segmentation, but c…
BikeActions: An Open Platform and Benchmark for Cyclist-Centric VRU Action Recognition
Max A. Buettner, Kanak Mazumder, Luca Koecher +3
Anticipating the intentions of Vulnerable Road Users (VRUs) is a critical challenge for safe autonomous driving (AD) and mobile robotics. While current research predominantly focus…
SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction
Kanak Mazumder, Fabian B. Flohr
Online high-definition (HD) map construction is an essential part of a safe and robust end-to-end autonomous driving (AD) pipeline. Onboard camera-based approaches suffer from limi…