Vision-based learning methods for self-driving cars have primarily used
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Obstacle avoidance is a fundamental and challenging problem for autonomo...
We present LM-Reloc – a novel approach for visual relocalization based o...
We present a novel dataset covering seasonal and challenging perceptual
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The ability of deep learning models to generalize well across different
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Direct methods for SLAM have shown exceptional performance on odometry t...
In this paper, we present a framework to control a self-driving car by f...
Semantic segmentation maps can be used as input to models for maneuverin...
Model-free reinforcement learning has recently been shown to successfull...
End-to-end supervised learning has shown promising results for self-driv...