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STT: Stateful Tracking with Transformers for Autonomous Driving
In this paper, we propose STT, a Stateful Tracking model built with Transformers, that can consistently track objects in the scenes while also predicting their states accurately.
Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm
Reinforcement Learning has achieved tremendous success in the many Atari games.
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications
Recent advancements in statistical learning and computational abilities have enabled autonomous vehicle technology to develop at a much faster rate.
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