Core Technology

High Ceiling, Stable Floor:
Dual-System Architecture

Boosting vehicle intelligence ceiling with generative AI and reinforcement learning
Enabling beyond-line-of-sight perception via vehicle-road-cloud integration
Securing commercial deployment with automotive-grade dual-system redundancy

Full Scenario Architecture

Vehicle-Road-Cloud Integrated Fusion Architecture

This architecture is the core differentiator that sets TranXmart apart from pure vehicle intelligence companies. It builds a four-dimensional spatiotemporal intelligent driving system based on "Far-Near, Fast-Slow" capabilities.

FAR

Roadside Beyond-Line-of-Sight Perception

By utilizing roadside equipment to obtain road conditions kilometers in advance, we break the physical line-of-sight limitation of onboard sensors, achieving a true "thousand-mile eye" capability.

NEAR

Onboard High-Precision Localization

Leveraging multi-sensor fusion algorithms on the vehicle side, we ensure an extreme understanding of the surrounding environment with centimeter-level accuracy.

FAST

Onboard Millisecond-Level Decision Making

Our vehicle-side end-to-end models focus on millisecond-level response to handle emergency situations, with vehicle safety always as the top priority.

SLOW

Cloud-Based Global Intelligence

By introducing a cloud-based traffic large model, we provide vehicles with enhanced logical reasoning (Common Sense) and global traffic efficiency optimization capabilities.

Software Algorithm

Generative AI Driven "Dual System Complementarity"

TranXmart has completely abandoned the old rule-driven paradigm and fully embraced Generative AI to build a dual-system architecture with "high ceiling and stable floor".

Main System (Upper Ceiling)

Generative End‑to‑End Model(Diffusion‑Based)

Diffusion Model

Leverages the diffusion model to learn human drivers' driving behaviors.
Eliminates reliance on handwritten rules, enabling strong generalization capabilities to handle various complex long-tail scenarios.

Safety Redundancy (Lower Floor)

Optimized Algorithm Base(Safety Guard)

Safety Foundation

Algorithms based on mathematical optimization and physical rules serve as an independent safety foundation.
Provides absolutely reliable Minimum Risk Maneuver (MRM) strategies in extreme scenarios to guard the safety baseline.

Hardware Platform

All-weather Perception andASIL-D Level Safety Redundancy

The hardware stack is built for the demands of L4 trunk logistics, with full-scene coverage and high system availability.

Multi-dimensional Heterogeneous Perception

LiDAR, cameras, and radar work together to keep perception stable even in extreme operating conditions.

System-level Safety Redundancy

Designed to ASIL-D, the highest automotive safety-integrity level, with dual power, dual compute, and sensor redundancy so the system stays available after a single-point failure.