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DeepRoute.ai Launches DeepRoute IO 2.0, Smart Driving Platform Powered by VLA Technology
According to Maxwell Zhou , CEO of DeepRoute.ai, "DeepRoute IO 2.0 adopts the VLA model integrated with the large language model, which brings two core advantages: Chain-of-thought reasoning and extensive knowledge base."
The Chain-of-thought enables the system to analyze complex traffic scenarios through logical and human-like reasoning, enhancing the transparency and reliability of driving decisions. The extensive knowledge base allows the model to draw upon accumulated driving experience across diverse conditions, adapting seamlessly to real-world situations. Together, these capabilities enable DeepRoute IO 2.0 delivering reliable, safe, and highly adaptive assisted driving.
DeepRoute IO 2.0 platform, powered by the VLA model, significantly enhances the ability to manage complex driving scenarios. The platform delivers defensive driving by combining spatial understanding with advanced reasoning to handle diverse conditions and eliminate blind-spot risks. It ensures transparency through step-by-step explanations of its decision-making process, reducing the "black box" effect. With its OCR capability, the system can recognize traffic signs and interpret text road information in real time, just like a human driver. Finally, the voice control feature supports seamless interaction with humans using natural language, allowing drivers to control the vehicle through verbal commands.
DeepRoute.ai has validated DeepRoute IO 2.0 and the VLA model in real-world urban environments to ensure reliable performance under diverse conditions. The company continues to collaborate with global OEM partners to accelerate the deployment of smart driving technology in mass-production vehicles worldwide.
DeepRoute.ai is an AI company dedicated to the research, development, and application of smart driving solutions. Being the pioneer in deploying end-to-end and VLA models on mass-produced passenger vehicles, DeepRoute.ai aims to create artificial general intelligence in physical world.
For more information, visit deeproute.ai, follow DeepRoute.ai on LinkedIn, and X, and subscribe to DeepRoute.ai on YouTube.
Contact: press@deeproute.ai
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