Building Blocks for Developing Contextually-Aware Vehicles

TEAMS Design Trend Story Automotive III

Photo Credits: Unsplash
Photo Credits: Unsplash

A. Data Collection

  • Understanding The Vehicle: We all know about the change oil icon… the “low on gas” warning… the dreaded check-engine light… But what if cars were able to quantify and present more transparent diagnostic reports to it’s drivers? Why shouldn’t cars be able to predict and understand when something needs to be changed, and inform the driver with more in-depth and valuable reports? Almost no one would doubt the value of a vehicle which can analyze and diagnose its own status (other than maybe mechanics profiting from generic warning signals) … Yet creating tech and software that are able to measure and record the state of each object and system in a car is a gigantic task. Bringing each of these systems together onto one platform where they are even able to speak to each other is another task entirely. While great advances are being made in terms of onboard monitoring systems, creating a cohesive and ecosystem of instruments in charge of constantly analyzing the vehicle and it’s components will take quite some time.
  • Understanding The Driver / Passenger: A huge topic being explored right now is how a vehicle is able to capture data from drivers and passengers. Capturing the digital identities of passengers and their preferences can lead to custom / tailored content and possible route suggestions. Evaluating a driver’s emotions will lead to a more tailored experience that empowers a driver to calm down when angry, or music suggested when sad. Understanding a driver’s physical state through advanced driver-facing cameras and health monitoring systems will prompt more responsive distraction warnings, or even emergency response warnings and manoeuvres. Improved Audio Input technology and Digital Assistants in the car will empower passengers with advanced interactions with services, as well as the ability to initiate commands (from making appointments, to finding parking spots, to making purchases). Developing the hardware and software to understand who is in the car, and what their motivations are will lead to the creation of driver behavior models and powerful driving experiences.
  • Understanding The Environment: The last essential data-points needed for a car to grow contextually aware have to do with everything else going on in the world around it. Through advanced traffic information systems (V2I Technology), pre-configured and crowdsourced mapping data, satellite imagery, current and upcoming weather measurements, news events, a host of sensors constantly monitoring and predicting the behavior of other road users… The list of external factors relevant to a driving machine in terms of data capture is tremendous. Until a vehicle is able to sense, capture the complex relationships between all of these factors, reliably and securely, the fully Contextually Aware Auto will still take quite some time.
Photo Credits: Unsplash

B. Data Processing

“Vehicles will generate and consume roughly 40 terabytes of data for every eight hours of driving” — Brian Krzanich (Intel CEO)

Photo Credits: Unsplash

C. Decision Making



Insights is a space created by TEAMS Design to share the ideas and stories created by the TEAMS-Team around a variety of topics. From Design culture, all the way to sustainability & mobility.

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