Self-Driving 1:10
A 1:10 vehicle testbed for localization, planning, and control
Scaled autonomous-driving platform demonstration
How the scaled autonomy stack is organized
SLAM builds or updates a map while estimating the vehicle position. Perception supplies information about drivable space and obstacles, and path planning converts the destination into a trajectory the vehicle can follow.
The control layer translates that trajectory into steering and speed adjustments. Using a 1:10 platform shortens hardware iteration cycles and makes complete maneuvers such as autonomous parking practical to test indoors.
Technical focus
SLAMPerceptionPath planningLow-level controlAutonomous parkingRapid prototyping
Implementation details
- SLAM and localization keep the vehicle pose aligned with the working map
- Path planning converts a destination into an obstacle-aware drivable trajectory
- Feedback control applies steering and speed commands for route following and parking
Available demonstration
The linked video is the verified public demonstration of the scaled vehicle and its autonomous-driving workflow.