Track 1: Connected and Autonomous Vehicles
All self-driving cars will employ some combination of sensors, cameras, radar, high-performance GPS, LIDAR, AI, and machine learning to achieve their respective levels of autonomy. Connectivity to secure and scalable IoT, data management, and cloud solutions are also important to the mix, providing a resilient and high-performance foundation on which to collect, manage, and analyze voluminous sensor data.
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On-board computers
Sensing
Machine learning
Mapping system
V2X communication
OTA software updates
Cyber-security
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Track 2: Infotainment and HMI / Advanced xEV
In-vehicle infotainment is a collection of hardware and software in automobiles that provides audio or video entertainment. IVI originated with car audio systems that consisted of radios and cassette or CD players, and now includes automotive navigation systems, video players, USB and Bluetooth connectivity, Carputers, in-car internet, and WiFi. Once controlled by simple dashboards knobs and dials, ICE systems can include steering wheel audio controls and hands-free voice control.
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Multimodal interface
Human-machine interface
User interface
User experience
Sensors
Gesture recognition
Speech recognition
Multitasking
Mobile convergence
OTA
Cyber-security
Open source
In-vehicle Networking
Headrest display
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Track 3: Autonomous Vehicle Testing & Development
In 2030, it’s been clear that fully autonomous self-driving vehicles are set to become a reality. Yet 20 years later, the final stages of testing, validation and failsafing pose a huge challenge to the automotive industry. The rigorousness and thoroughness of the testing processes need to be at a higher level than anything that has gone before, if the final reality is to be achieved with complete safety and integrity guaranteed.
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Simulation & Embedded Software Testing
Reliability Testing of SW/HW Systems
Fail-safe Testing
Validation and Verification
Diagnostics
ECU Calibrations
Data Acquisition
Signal Analysis
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