4 papers
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…
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…
Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing
Daniil S. Antonenko, Stepan Konev, Yuriy Biktairov +1
Accurate and reliable motion prediction is essential for safe urban autonomy. The most prominent motion prediction approaches are based on modeling the distribution of possible fut…
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…