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Solutions / Autonomous Driving Operations Solution
Industry Solution

Autonomous Driving Operations Solution

A deployable autonomous driving stack for campus logistics and special-purpose vehicles.

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Core Advantages

Powerful features to drive your business transformation

Focus First on Deployable Scenarios

Start with closed or semi-closed routes such as campus logistics, patrol, and shuttle services to reduce long-tail road complexity.

Balance On-Vehicle Inference and Safety

Run perception, localization, and decision-making on the vehicle with low latency while keeping takeover, remote assistance, and fallback strategies in place.

Data Loops Drive Continuous Improvement

Centralize recovery cases, takeover logs, and weak-condition data so every operation cycle improves the models.

Vehicle-Road-Cloud Operations Architecture

Keep latency low on the vehicle, coordination efficient at the edge, and operations and feedback loops centralized.

1

On-Vehicle Execution Layer

Multi-sensor fusion Localization and trajectory planning Control execution Local safety policies
2

Edge Coordination Layer

Roadside perception assistance V2X coordination Zone map updates Task buffering
3

Operations Iteration Layer

Fleet monitoring Remote takeover Event replay Canary model rollout

Application Scenarios

Real-world applications across different industries

Campus Logistics Vehicles

Support fixed-route material delivery across campuses, industrial parks, and large venues with stable operations and lower labor demand.

Fixed routes are easier to validate
Improve delivery consistency
Reduce night-shift labor pressure

Patrol and Security Vehicles

Support site patrol, night security, and facility status collection with linked video, alerts, and task systems.

Expand patrol coverage
Speed up incident feedback
Reduce repetitive patrol hours

Success Stories

Real results from our customers

Industrial Park Operator

Campus Logistics and Patrol

Challenge

Campus logistics and patrol routes were repetitive and frequent, but manual driving costs were high and night operations were inconsistent.

Solution

The operator launched autonomous fleets on fixed routes first, then added a remote operations center and structured takeover logs.

-40%
Manual Driving Hours
99.3%
On-Time Route Completion
-52%
Exception Takeover Rate

Customer Benefits

Quantifiable improvements for your business

-20%~40%
Operations Labor Cost
Replace repetitive fixed-route driving tasks first to improve labor leverage.
+15%~25%
Task Completion Stability
Improve predictability with route management and fleet orchestration.
+40%~60%
Safety Incident Review Efficiency
Shorten review cycles by unifying logs, video, and perception data.

Related Products

Recommended hardware for this solution

Uptonix Edge AI Pro

A high-performance compute node for onboard inference and simulation validation.

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Uptonix AI NAS

A data platform for upload, replay analysis, and model version management.

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Technical Specifications

Detailed technical parameters and performance metrics

Key Metrics

Sensor Time Synchronization <5ms
Planning Recompute Cycle 50~100ms
Local Safety Takeover Trigger Millisecond-level
Model Release Strategy Canary rollout

Frequently Asked Questions

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