Autonomous Driving, Advanced Driver Assistance and Accident Avoidance: Technologies, Scenarios, Legislation, Challenges
With the increasing market penetration of Advanced Driver Assistance Systems (ADAS), some of the latest car models offer automated driving in specific traffic scenarios. These partially automated systems, however, must be supervised permanently by the driver. Highly automated systems where the driver must take-over the vehicle control only on request, are expected already in the near future, with the focus on automated driving in traffic jams and on the highway. While the regulatory framework is aborning, major need for action is the so-called backend providing not only highly accurate and actual digital map data, rather the release of the autopilot on specific routes and information about eventual hazards. Technically, these systems are a combination of existing ADAS- and accident avoidance functions, utilizing the well-known radar sensors, cameras and ultrasonic sensors. New in the market is a laser-scanner, which may be replaced by less expensive 3D-LiDAR sensors in a few years. In addition to these autopilots in series production vehicles enabling temporarily autonomous driving in specific traffic scenarios under certain circumstances, IT companies, Google first and foremost, as well as carpool services such as Uber, are developing and testing driverless cars. Even some OEMs (Volvo, Ford) have announced to develop self-driving cars for passenger transportation like taxis or shuttle busses. Due to the enormous cost savings by eliminating the driver, significantly more expensive and increasingly powerful technologies can be used in these vehicles, i.e. a 360° high-resolution laser-scanner. An essential objective of autonomous driving is the reduction and avoidance of accidents. Based on accident analysis, the potential to this effect, both of ADAS and autopilots, is estimated, including the remaining or insufficiently addressed gaps. While the effectiveness of autopilots is very low due to the low market penetration and the limited effective scope, the further development and enhancements of the sensors and algorithms used will significantly increase the effectiveness of accident avoidance systems such as collision mitigation systems. The seminar describes and explains in detail the existing and anticipated ADAS, autopilots and accident avoidance systems with a specific focus on the sensors, communication systems and algorithms used, such as artificial intelligence. In particular, the leap from partial to high automation is highlighted, including the technical gaps, the system boundaries, the requirements of functional safety and system validation are discussed. Furthermore, the potential impact on occupant protection systems along with synergies between active and passive safety are touched. Particularly challenging is the re-transition of the vehicle control from the autopilot to the driver. In this context, the importance of the human-machine interface (HMI) along with driver monitoring systems are illustrated. Last, but not least, the legal challenges to automated driving are highlighted, the vehicle certification requirements in particular.
Who should attend?
This seminar offers an introduction in all aspects of automated driving. As a result, it is useful to all experts working in research and development of ADAS, automated driving and active safety, including sensors, algorithms, human machine interface, communication systems, vehicle interior design, future mobility and traffic concepts. In particular, the seminar addresses technicians, system and component engineers, project engineers and managers in the automotive industry, both vehicle manufacturers and suppliers who are interested in the actual and future technologies of automated driving and active safety.
- Overview of market trends, the requirements of legislation and consumer ratings
- Advanced Driver Assistance Systems: Functions and technologies
- Motivation, Drivers and benefits of automated driving
- Scenarios of automated driving, the leap from partial to high automation
- Technologies and sensors used, technical gaps and boundaries
- Legal and other challenges, system validation and driver monitoring in particular
- Accident avoidance systems and technologies, the potential of ADAS and autopilots to this effect
- Not yet sufficiently addressed gaps in accident scenarios and accident root causes, based on accident analysis
- Synergies between active and passive safety (Integrated Safety)
Dr. rer. nat. Lothar Groesch
Groesch Automotive Safety Consulting
Dr. Lothar Groesch has been working in safety engineering for more than 40 years, both at one of the leading OEMs in Passive & Active Safety, and with a major supplier in pioneering new automotive safety sensors & systems. From 2000 to 2009, he worked in the United States as a Product Director for Automotive Safety Systems, thus he is particularly familiar with U.S. specific requirements. Although he only joined the carhs team quite recently, he has a long experience in guest teaching at several universities in the U.S. & Germany, as well as in company internal training seminars, technical marketing, customer presentations & workshops. In 2009 Dr. Grösch has founded Groesch Automotive Safety Consulting and is primarily working in driver assist and accident avoidance systems.
|09 Oct - 10 Oct 2018||English||1290 EUR (1540 EUR from 12 Sep 2018 )||3085|
|Alzenau (carhs.training gmbh, Siemensstraße 12, 63755 Alzenau)||» Register|
Dr. rer. nat. Lothar Groesch (Groesch Automotive Safety Consulting)
|Tuesday||09:00 - 17:00|
|Wednesday||09:00 - 17:00|
All prices are exclusive of VAT.