Scania - Truck of Tomorrow

Truck of Tomorrow was an exploratory project created in partnership with Scania.  We were tasked to envision the future driving environment with a heavy emphasis on automation. Our team  used this premise while ideating on the subject of poor visibility in truck driving.

The proposed system focuses on balancing driver perception of their environments as a means of  preventing unexpected problems that vary from delays to serious accidents.


6 Weeks - Group Project
Skills - Academic Research, User Interviews, After Effects, GUI, Perception Studies

Group - Marcel Penz, Madyana Torres

Research Process


Initial Interviews

We conducted two interviews with truck drivers in situ as they went about their day. Through this shadowing process, we could clearly identify to hazards truck drivers face today.

They are require to maneuver their vehicles in very tight spaces with little to no guidance systems. Additionally once on the road, they are responsible for their own management and are incredibly reliant upon forces they cannot control, i.e traffic and weather. 

A summarized list of our inquiries during the shadowing process

Final Concept

To download our final research report click here

Key Features

Binary Switch from Automation to Manual

A major issue with automation occurs when drivers are unaware of how the automation is functioning. In our system, there is a very clear binary indicator between full automation and full manual modes. While in automation mode, the wheel is retracted into the dashboard. The driver must deliberately pull the wheel to extend it back to driving position in order to resume complete control of the vehicle.

Creating 360 Degree Visibility

Nowadays truck drivers are threatened by hazards that hide in their blind spots caused in part by their large vehicles. The 360º Screen was inspired by a heads up display being tested in modern day fighter jet cockpits. The HUD is linked to a series of cameras mounted on the exterior of the jet. As the pilot looks towards the floor, the HUD displays the video feeds coming from the underside of the jet, essentially removing the limited field of vision caused by the body of the jet. We applied this technology to our future truck in order to prevent hazards, and make the driver more at ease being able to see their entire environment. The video feeds are mapped one to one on a screen that wraps around the entire interior of the cabin.

A Route Specific Planning Tool

Truck drivers today have to balance information being thrown at them from many different devices. Here we consolidated the various inputs into a singular planning tool. Since truck journeys can be simplified down to a linear progression, we made a planning tool that translated the truck drivers journey into a progress bar. Instead of using a traditional GPS system to guide the route, the progress bar keeps track of location, topography and weather along the route. The progress bar also helps the driver to keep track of his position, future breaks, and other trucks drivers located along the road.

De-Weathering Camera Array

Researchers at Stanford University have developed a multi camera sensor array, capable of creating a composited video feed which removes particles that obscure vision. By using offset cameras and linking the multiple angles together, the array is capable of calculating a de-weathered view of the road, in this example, eliminating falling snow. This array is housed on the exterior of the truck, supplying video feeds to be displayed on the windscreen.