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RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning
Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets and human efforts, while learning-based approaches resort to iterative refinement for calibration results, posing constraints on their generalization and application in on-board systems.
Deep auxiliary learning for visual localization using colorization task
Meanwhile an attention mechanism is introduced for the benefit of localization performance.
3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning
Camera localization is a fundamental and key component of autonomous driving vehicles and mobile robots to localize themselves globally for further environment perception, path planning and motion control.
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