HERO — Vision-Based Parking Assistance
Additional work · In development · Low-vision coaching HUD
HERO is a coaching-only parking-assistance project for a Hyundai Ioniq. It connects the Monoscale camera-perception stack to a driver interface designed around low-vision legibility. The system provides guidance and does not intervene in vehicle control.
Vision-Only Perception
- Metric ground-plane odometry estimates vehicle motion from one or more cameras and IMU without vehicle-mounted LiDAR.
- Plane-sweep dense occupancy reconstructs parking-space geometry from raw fisheye images in C++/CUDA.
- A deterministic CARLA evaluation and replay path measures odometry and occupancy against ground truth.
- The perception implementation and measurements are documented separately on the Monoscale project page.
Low-Vision Coaching HUD
- Angular legibility budgets connect display geometry to the driver's usable visual angle.
- Guidance includes a parking corridor, stop line, gear state, and explicit degraded-state messaging.
- ROS 2 coaching logic is separated from the Qt presentation layer.
- The current geometry layer includes 26 tests for display and guidance calculations.
Architecture
Camerasdual-view CARLA image streams
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Monoscalemetric ground-plane odometry and dense occupancy
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Coaching Stateparking geometry, gear, stopping, degraded state
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HUDlow-vision-oriented Qt presentation
Engineering Status
In development. The current implementation includes scenario-driven HUD states, geometry tests, and visual-acuity simulation outputs for interface review.