Process data from sensors such as cameras and radars to identify road environments.

Integrating multi-sensor data for autonomous vehicle decision-making and environmental recognition.

A white autonomous vehicle branded with Waymo is parked on a street next to a large, beige building with arched windows. The sky is clear and blue, and streetlights are visible in the background.
A white autonomous vehicle branded with Waymo is parked on a street next to a large, beige building with arched windows. The sky is clear and blue, and streetlights are visible in the background.

Data Collection

Gather a comprehensive dataset from cameras, radar, LiDAR, and other sensors, including diverse road scenarios (e.g., urban, rural, adverse weather).

A view of the interior dashboard of a car with a small robot-like device positioned on top of the dashboard. The dashboard also features a touchscreen displaying various options. The environment is dimly lit, focusing on the dashboard area.
A view of the interior dashboard of a car with a small robot-like device positioned on top of the dashboard. The dashboard also features a touchscreen displaying various options. The environment is dimly lit, focusing on the dashboard area.
Aerial view of a white car driving on a dark road with distinct shadows cast by nearby buildings. The car appears to be in motion, with clear lines marking the lanes on the road. A parked car is visible nearby, and the image is rendered in black and white, accentuating the contrast between light and shadow.
Aerial view of a white car driving on a dark road with distinct shadows cast by nearby buildings. The car appears to be in motion, with clear lines marking the lanes on the road. A parked car is visible nearby, and the image is rendered in black and white, accentuating the contrast between light and shadow.

System Development

AI-powered system for real-time decision-making support.

Performance Evaluation

Assessing accuracy, reliability, and response time metrics.

Expected Outcomes

This research aims to demonstrate that fine-tuning GPT-4 can significantly enhance the accuracy and reliability of perception systems for autonomous driving. The outcomes will contribute to a deeper understanding of how advanced AI models can be adapted for multi-sensor data processing and environmental recognition. Additionally, the study will highlight the societal impact of AI in improving road safety, advancing autonomous vehicle technology, and reducing traffic accidents.

Innovation

Advanced AI for real-time road environment recognition.

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