#China #Shenzhen #DeepRoute.ai #Intelligent Driving #VLA Model

DeepRoute.ai Launches DeepRoute IO 2.0

DeepRoute.ai has officially released DeepRoute IO 2.0, the latest iteration of its intelligent driving platform, driven by the innovative Vision-Language-Action (VLA) model. This new generation platform represents a significant advancement in providing smarter, safer, and more human-like driving experiences for everyday users.

The DeepRoute IO 2.0 features a flexible, multi-chip, and multi-sensor design that accommodates both LiDAR and pure vision configurations. This means it integrates seamlessly with various vehicle models and manufacturers. The platform is set to debut on NVIDIA DRIVE AGX Thor, which operates on DriveOS. Utilizing the Blackwell GPU architecture specifically crafted for VLA model reasoning, DeepRoute IO 2.0 is designed for superior performance.

Maxwell Zhou, CEO of DeepRoute.ai, stated, "DeepRoute IO 2.0 harnesses the integrated wide language model of VLA, offering two key advantages: chain-of-thought reasoning and a robust knowledge base." This chain-of-thought capability allows the system to analyze complex traffic scenarios through human-like logical reasoning, thus enhancing decision-making transparency and reliability in driving.

Additionally, the extensive knowledge base enables the model to draw from accumulated driving experiences in a variety of conditions, allowing it to adapt smoothly to real-world scenarios. At its core, these features empower DeepRoute IO 2.0 to deliver reliable, safe, and highly adaptive assisted driving.

The DeepRoute IO 2.0 platform demonstrates a marked improvement in handling intricate driving situations. It employs defensive driving techniques that combine spatial awareness with advanced reasoning to manage a diverse array of conditions while effectively eliminating blind-spot risks. Moreover, it ensures decision-making transparency by providing step-by-step explanations, thereby alleviating the common "black box" criticism faced by many autonomous systems.

One of the standout functionalities of DeepRoute IO 2.0 is its optical character recognition (OCR) capability, which allows the system to recognize traffic signs and interpret textual road information in real-time, akin to a human driver. The platform also incorporates a voice control feature, enabling seamless interaction with human users through natural language, thus allowing drivers to issue verbal commands to control the vehicle.

Thorough testing of DeepRoute IO 2.0 and the VLA model has been conducted in real urban environments to ensure reliable performance across various conditions. The company continues to collaborate with global OEM partners to accelerate the rollout of intelligent driving technology in mass-production vehicles worldwide.

About DeepRoute.ai

DeepRoute.ai is an AI-driven company focused on the research, development, and implementation of intelligent driving solutions. As a pioneer in deploying high-performance, comprehensive VLA models in mass-market passenger vehicles, DeepRoute.ai aims to create general artificial intelligence solutions in the physical world.

For more details, visit deeproute.ai, follow us on LinkedIn and X, and subscribe to DeepRoute.ai on YouTube.