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Queue-based Eco-Driving at Roundabouts with Reinforcement Learning
A fair comparison of rule-based and RL-based approaches is performed to explore RL as a viable alternative to classical optimization.
Temporal Enhanced Floating Car Observers
Floating Car Observers (FCOs) are an innovative method to collect traffic data by deploying sensor-equipped vehicles to detect and locate other vehicles.
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
TempCoBEV is an independent temporal module that seamlessly integrates into state-of-the-art camera-based cooperative perception models.
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