The industry is shifting! It’s time to take a look at where the industry players are positioning themselves in this ever changing market space.

• Map out the current value chain in the ADAS and autonomous space to ascertain who’s focussing on what

• Sensors to software – look at the latest industry collaborations that are helping to fuel innovation in this space

• Understand where ADAS ends and autonomous technology begins. Can your tech make the leap from ADAS to autonomous?

With multiple mobility providers now actively entering the autonomous race; it’s time to understand where the fields of mobility and autonomy intersect

• Explore how Automated Mobility on Demand (AMoD) will fill societal gaps for first mile and last mile public transportation, redefining the field of mobility

• Look at the growing importance of cloud services for aligning with AMoD eco-system partners to interface and interact with the AMoD system including its vehicles and passengers

• Understand the criticality of automotive grade cybersecurity protocols in AMoD to ensure data integrity and protection

LiDAR is coming to mainstream automotive. Discover how this disruptive, smart sensing technology will enable self-driving vehicles

• With the emergence of autonomous cars, automakers will demand reliable, cost effective, fully integrated 3D sensing for guidance and collision avoidance

• Today's LiDAR sensors are expensive, large, power hungry and not reliable enough for automotive applications - a big gap in mass market autonomous systems

• Learn how automotive-grade, solid state 3D LiDAR sensing technology fills this gap with improved range, resolution and accuracy using real time data

LIDAR and Infrared camera technology is rapidly evolving to meet the growing market need in ADAS and autonomous car evolution.

• Explore the strategies for enhancing the resolution and range in high resolution LIDAR

• Understand the complexities around multi brand sensor banks. How can an intermediary system bridge the communication gap?  

• Examine how infrared camera technology can be applied both in and outside the vehicle to negate the challenges low light environments present

The connected car is here! But just how can the connected car assist with autonomous vehicle functionality?

• Integrate your sensors with V2X data to drastically enhance the detection range and accuracy of passive sensors

• Analyse how V2V communication can be applied to pass autonomous vehicle status to surrounding vehicles, reducing collision rates

• DSRC, 5G? Understand the merits of spectrums that will play a role in maintaining a constant connection to the  autonomous vehicle

ADAS technology is reaching maturity and is becoming a common feature on today’s vehicles. Now urgent action is needed to monetise the technology.

• Position ADAS at the cross-section between safety & cutting-edge technology to engage consumers with the technology and generate trust

• Bridge the knowledge gap between the OEM and dealer to create a fully informed sales channel that can effectively educate the consumer on the value of active safety technology

• Examine how incremental ADAS roll out will enable consumers to build trust with automated systems

ADAS and automation are fundamentally changing the driving experience and requirements of HMI are only set to increase as we see level 3 systems entering the market.

• Get inside the consumer’s mind to understand how users truly interact with technology, taking lessons from other consumer centric industries such as the cell phone space

• Apply driver monitoring technologies, such as interior cameras and drowsiness sensors, to allow vehicles to gauge the readiness of driver to take back control in a  level 3 vehicle

• Debate the need to standardize ADAS features to enhance the familiarity and affordance values of system controls 

Autonomous technology has been a fundamental component of the aviation industry for years. So what lessons from aviation can we apply to automotive?

• Provide advice but leave the driver in charge – avoid driver complacency through limiting driver reliance on alertness systems

• Leverage the underlying psychology of human/machine interaction to inform the development of driver engagement systems

• Examine how to maintain driving skill, wakefulness, or attentiveness through simplification and periodic interaction with systems