Consistent Depth Estimation in Data-Driven Simulation for Autonomous Driving by Beveridge, Matthew

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Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing by Amini, Alexander, Araki, Brandon, Rus, Daniela, Schwarting, Wilko, Rosman, Guy, Karaman, Sertac, Rus, Daniela L

“…This paper introduces a new method for end-to-end training of deep neural networks (DNNs) and evaluates it in the context of autonomous driving. DNN training has been shown to result in high accuracy for perception to action learning given sufficient training data. …”
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Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps by Ort, Teddy, Paull, Liam, Rus, Daniela

“…State-of-the-art autonomous driving systems rely heavily on detailed and highly accurate prior maps. …”
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Autonomous Navigation without HD Prior Maps by Ort, Teddy

“…Most fielded autonomous driving systems currently rely on High Definition (HD) prior maps both to localize, and to retrieve detailed geometric and semantic information about the environment. …”
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Autonomous Navigation in Inclement Weather based on a Localizing Ground Penetrating Radar by Ort, Teddy, Gilitschenski, Igor, Rus, Daniela

“…Most autonomous driving solutions require some method of localization within their environment. …”
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A General Pipeline for 3D Detection of Vehicles by Du, Xinxin, Ang, Marcelo H., Karaman, Sertac, Rus, Daniela

“…© 2018 IEEE. Autonomous driving requires 3D perception of vehicles and other objects in the in environment. …”
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Risk-Aware Neural Navigation for Interactive Driving by Jiwani, Suzanna

“…Safety has been a key goal for autonomous driving since its inception, and we believe recognizing and responding to risk is a key component of safety. …”
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