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cs.CV2026
StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
Stepan Konev
Autonomous driving has shifted from modular perception-prediction-planning stacks toward end-to-end (E2E) models that map sensor inputs directly to vehicle control, often regulariz…
cs.CV2024
From 2D to 3D: AISG-SLA Visual Localization Challenge
Jialin Gao, Bill Ong, Darld Lwi +13
Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position…
cs.CV2023
Match and Locate: low-frequency monocular odometry based on deep feature matching
Stepan Konev, Yuriy Biktairov
Accurate and robust pose estimation plays a crucial role in many robotic systems. Popular algorithms for pose estimation typically rely on high-fidelity and high-frequency signals…