DESIGN AND DEPLOYMENT OF A REAL-WORLD AUTONOMOUS DRIVING TEST PLATFORM

Autonomous driving technology has rapidly advanced in recent years, leading to significant developments in its deployment and application. This paper presents the design and deployment of a real-world autonomous driving test platform with comprehensive capabilities, enabling the test and evaluation of autonomous driving technologies in real-world scenarios. The platform integrates multiple sensors, including LiDAR, radar, cameras, Global Navigation Satellite System (GNSS), and Inertial Measurement Unit (IMU), which collectively provide robust sensing, localization, and measurement capabilities. Built on the Autoware.AI framework, this test platform offers a flexible environment for diverse autonomous driving functionalities, including mapping, object detection, planning, and control. The use of ROS (Robot Operating System) enables seamless communication between various system modules, simplifies sensor integration, and provides extensive tools for debugging and visualization, making the platform highly adaptable for both research development and algorithm validation.

As a key demonstration of the platform’s capabilities, the paper introduces Talk2Drive, a Large Language Model (LLM)-based autonomous driving framework designed to enhance human-vehicle interaction. Talk2Drive leverages advanced AI techniques to interpret and execute verbal commands from the driver, enabling real-time adjustments to vehicle behavior and offering a personalized driving experience. This paper indicates the comprehensive integration and deployment process of the Talk2Drive framework. Additionally, through various experimental setups—including highway driving, intersections, and parking lot scenarios—the paper demonstrates how this autonomous driving platform evaluates the safety, performance, adaptability, and reliability of AI-driven frameworks like Talk2Drive under the real-world condition. The results underscore the platform's effectiveness in testing and validating autonomous systems. At the same time, the successful deployment of Talk2Drive also proves that the designed autonomous driving testing platform has the capabilities to examine the complex autonomous driving algorithm or systems' performance in real-world environments.