1 citations · 1 across the 3 of their papers we have counts for
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To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software
Loïc Stratil, Felix Fent, Esteban Rivera +1
Autonomous vehicle perception typically relies on modular pipelines that decompose the task into detection, tracking, and prediction. While interpretable, these pipelines suffer fr…
VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving
Levente Tempfli, Esteban Rivera, Markus Lienkamp
Data collection for autonomous driving is rapidly accelerating, but manual annotation, especially for 3D labels, remains a major bottleneck due to its high cost and labor intensity…
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
Esteban Rivera, Surya Prabhakaran, Markus Lienkamp
Active Learning has proved to be a relevant approach to perform sample selection for training models for Autonomous Driving. Particularly, previous works on active learning for 3D…