Driver Assistance Systems 2017 goes video
Advanced assistance systems are now available that allow trucks to see, think, and act. Interoperability is a fundamental requirement for the introduction of highly automated driving. In order to ensure that data from vehicles and the environment, some of which is cloud-based, can be exchanged without difficulties, interfaces need to be opened up and standards agreed upon.
In addition, secure and regular updates “over the air” are important to enable us to make use of the swarm intelligence that is necessary for automated driving. The International ATZ Conference “Driver Assistance Systems” 2017 took an up-to-the-minute approach to the latest developments. What can be achieved and how and when? The redundancies needed for safety reasons and the reduction in the handover times to drivers will require new electric and electronic architectures and vehicle electrical systems. The environment recognition functions need to be improved further and new methods such as deep machine learning will involve major challenges.
ATZ knowledge transfer – we make German automotive expertise available throughout the world – now new via video.
These are the benefits for your company:
- Editorial expertise: Our specialist editorial teams evaluate and group together themes that are particularly relevant to your business.
- Flexible training: Your employees can access our videos for training and qualification purposes at any time, regardless of where they are located.
- Travel cost savings: Your employees do not have to travel in order to benefit from technical presentations, for example at conferences.
- Exclusive service: Our product is unique. We are the only organisation to offer this type of virtual participation in themed packages that have been put together by our editors.
- By choosing several themed packages, you can save money.
You can choose from the following packages
Processing and Key Technologies
- Automotive 3D reconstruction bades on multi-pixel LED headlight systems.
- Scenario-based approach for developing ADAS and automated driving functions.
- From reserach to mass production – using a versatile platform for developing new HAD software functions.
- Big data re-simulations for autonomous driving using DaSense.
Connectivity and Driving Dynamics
- Connected car – driver assistance sensors get connected.
- The impact of 5G for future dirver assistance and autonomous driving systems.
- Sensor-based learning – one step closer to autonomous driving.
- Evasive Maneuver Assist (EMA) – Enhanced vehicle safety using a combination of braking and steering.
Interested? Please contact us!
Watch the trailer of Driver Assistance Systems 2017