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Full-Text Articles in Computer Engineering
Modeling Autonomous Vehicles Through Radio Controlled Cars, Eva S. Chen
Modeling Autonomous Vehicles Through Radio Controlled Cars, Eva S. Chen
Computer Engineering
Autonomous vehicles have a lot of potential in improving people’s everyday lives. They could reduce congestion, reduce collisions, enhance mobility, and more. But with these benefits come security and privacy risks. In order to research and test some of these risks, we are building a set of scale autonomous cars that can model autonomous and collaborative behaviors. One such behaviour would be platooning, where a group of vehicles can travel closely together at high speeds by following a lead car. We are doing this with various sensors and control algorithms to allow for future modularity.
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments, Jeremy N. Kerfs
Models For Pedestrian Trajectory Prediction And Navigation In Dynamic Environments, Jeremy N. Kerfs
Master's Theses
Robots are no longer constrained to cages in factories and are increasingly taking on roles alongside humans. Before robots can accomplish their tasks in these dynamic environments, they must be able to navigate while avoiding collisions with pedestrians or other robots. Humans are able to move through crowds by anticipating the movements of other pedestrians and how their actions will influence others; developing a method for predicting pedestrian trajectories is a critical component of a robust robot navigation system. A current state-of-the-art approach for predicting pedestrian trajectories is Social-LSTM, which is a recurrent neural network that incorporates information about neighboring …