Concept scenario
Valet Parking Vehicle Damage Detection
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree AS2
The problem addressed
Vehicle damage disputes in valet service and customer trust loss.
Draft mission flow
- 1When vehicle delivered to valet, robot performs 360° exterior body scan; all existing damage recorded with mm precision.
- 2Same scan repeated during vehicle return; comparative damage report automatically generated before/after delivery.
- 3When new damage detected, timestamped evidence file created; provides foundation for compensation process.
- 4Valet crew's per-vehicle performance monitored; recurring damage patterns reported as training needs.
Proposed hardware
- HD 360° Camera
- 3D LiDAR
- LED Lighting
- High Resolution Zoom Camera
- NFC Tag Reader
Proposed software
- Navigation
- 360° vehicle perimeter scan navigation in valet parking area
- Model
- Vehicle Body Damage Classification (Scratch/Dent/Paint Blister), 3D Damage Measurement
- Integration
- Mall Valet Service Management System and Insurance Evidence Database
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.