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Found 7 papers, 1 papers with code
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling
We consider the problem of cross-sensor domain adaptation in the context of LiDAR-based 3D object detection and propose Stationary Object Aggregation Pseudo-labelling (SOAP) to generate high quality pseudo-labels for stationary objects.
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
Modelling pedestrian behavior is crucial in the development and testing of autonomous vehicles.
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning
In this work, after describing and motivating our problem with a simple example, we present a suitable constrained reinforcement learning algorithm that prevents learning instability, using recursive constraints.
Design Space of Behaviour Planning for Autonomous Driving
We explore the complex design space of behaviour planning for autonomous driving.
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving
Machine learning can provide efficient solutions to the complex problems encountered in autonomous driving, but ensuring their safety remains a challenge.
Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input
We present an algorithm that quickly finds falsifying inputs for hybrid systems, i. e., inputs that steer the system towards violation of a given temporal logic requirement.
Systems and Control
Scalable Verification of Markov Decision Processes
Markov decision processes (MDP) are useful to model concurrent process optimisation problems, but verifying them with numerical methods is often intractable.
