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Speaker: Sungkyu Lee Room: 1967 At the current stage of autonomous driving, failures in complex situations are inevitable. Instead of minimizing the amount of failures, the idea of introspection is to learn when a prediction for a given input cannot be trusted. The learned... [more]

In the near future, autonomous cars will continue to make mistakes that require human supervision to correct. To allow enough time for a human to take over, it is necessary to predict that a failure is about to occur. One approach is to try and detect input that is different from... [more]

Clouds have great visual impact and emotional influence on people. However, the volumetric nature of cloud make it difficult to reproduce in a computer, especially in video games which require the rendering process to be real-time. This thesis aims to find a method to render... [more]

Donkey Car (https://www.donkeycar.com) is an opensource DIY self-driving platform for small scale racing cars equipped with a Raspberry Pi and a wide-angle Raspberry Pi camera. It allows driving your car with your phone or laptop and recording images, steering angles and... [more]

Date: 14.01.2020, 13:15 Room: 1967 [more]

The goal is to research different approaches for autonomous driving in the CARLA simulator. Publicly available models should be implemented and compared with regards to the errors the models make. [more]

At the current stage of autonomous driving, failures in complex situations are inevitable. A learning-based method to predict such failures could prevent dangerous situations or crashes. However, collecting real-life training data of crashes caused by autonomous vehicles is not... [more]

Speaker: Furkan Kaynar 10:00, room 1967 [more]

Date: 12.12.2019, 12:30 Room: 1967 [more]

Speaker: Fuqi Guan Room: 1967 For fully immersive telepresence within a vehicle a 360° Field of View is required. As the human FoV is significantly smaller than 360°, just a slice of the surround view has to be transmitted to the operator. Within the operator’s current Field of... [more]