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RoboVan Autonomous Vehicle
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RoboVan Autonomous Vehicle

Support perception computing, software integration, and vehicle validation for autonomous transport across campuses, communities, and controlled roads.

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Solution overview

Support perception computing, software integration, and vehicle validation for autonomous transport across campuses, communities, and controlled roads.

Low-speed autonomous vehicles must process multiple sensors reliably while sustaining localization, perception, planning, and control across changing routes and obstacles.

Start with real applications and build an edge solution that can be validated, integrated, and evolved.

Core advantages

Multi-sensor fusion perception
  • 360° obstacle, pedestrian, and vehicle detection
End-to-end mapless navigation
  • Lower HD-map maintenance cost and faster deployment
Automatic obstacle avoidance
  • Self-parking, auto-recharging, and multi-stop relay delivery
Fault alerts
  • Abnormal shutdowns with event location reported to the dispatch platform
Automotive-grade safety redundancy
  • Wide-temperature operation from -20℃ to +45℃, enabling 24/7 operation

Application scenarios

Typical applications

Support perception computing, software integration, and vehicle validation for autonomous transport across campuses, communities, and controlled roads.

  • Campus delivery
  • Material transport
  • Controlled-road logistics
  • Autonomous prototype validation

Deployment architecture

Capability 01
Integrate cameras and sensors with synchronization and compute-platform adaptation
Capability 02
Deploy and optimize object and drivable-area perception models at the edge
Capability 03
Connect vehicle communication, task systems, and controls for scenario validation

Get solution design and engineering support

Share your application, target platform, and project stage so we can define the technical path and delivery scope together.

Contact a solution expert