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Seminar - ATDS (SS19)

ATDS -- Smart Microsystems in Autonomous Driving Applications
Dozent Dr.-Ing. Mohamed Abdelaal
Umfang2 SWS
Sprache Englisch
Studiengänge INFOTECH
Computer Science
Zielgruppe Master
TermineFirst Meeting (Group 1): Monday, April 15th 2019, 15:45-17:15, Room 0.363
First Meeting (Group 2): Thursday, April 18th 2019, 09:45-11:15, Room 0.363

Internet of Things (IoT) describes a general concept for the ability of items in the physical world to sense and collect data from the surroundings, and then share that data across the Internet where it can be processed and utilized for various interesting purposes. These capabilities have certainly opened the door for several applications. Autonomous driving is one of these applications in which the IoT concepts are used to augment the vehicles’ intelligence. In this context, advanced driver assistance systems (ADAS) feature an increasing degree of automation towards the goal of fully automated driving for safe and comfortable travel. This trend promises a reduction in the number and severity of traffic accidents, of traffic congestions as well as fuel consumption, thus leading to resource-saving mobility. Accordingly, several industry giants, such as Daimler, BMW, Bosch, Tesla, Google, and Uber, are currently competing to release the first commercial fully-autonomous vehicle.

 In general, ADAS is an interdisciplinary field that spans across all the levels of functional hierarchy, from hardware fault tolerance, to advanced machine learning, to cooperating with conventional vehicles, to validating systems for operation in highly unstructured environments. To design such systems, several sensors, such as radar, video cameras, LiDAR, and ultrasonic, generate continuous stream of data processed by an array of processing units. In this seminar, we cover several important components of the autonomous driving system. The discussed areas includes, but not limited to:

  • Sensing technologies and sensor fusion protocols
  • Automotive networking protocols (CAN, Automotive Ethernet, TSN, LIN)
  • Software standards (RTOS, AUTOSAR, SPICE)
  • Multiprocessor real-time scheduling
  • Resilient machine learning algorithms
  • Driver assistance and vehicle automation (SLAM, safety, pedestrians detection)
  • Security (intrusion detection, blockchain)