Urban Scenarios

Diverse dataset for autonomous driving in various urban conditions.

A sleek, dark-colored car is moving swiftly through an urban setting, surrounded by traffic cones and tires, suggesting a driving course or training area. The background features a large building with columns and several shaded awnings, contributing to a sense of speed and motion blur.
A sleek, dark-colored car is moving swiftly through an urban setting, surrounded by traffic cones and tires, suggesting a driving course or training area. The background features a large building with columns and several shaded awnings, contributing to a sense of speed and motion blur.
A red car is driving on an empty, spacious rooftop parking lot with marked lanes. The background features a clear sky transitioning from orange to blue hues, suggesting either sunrise or sunset. The urban skyline is faintly visible, adding to the ambient setting.
A red car is driving on an empty, spacious rooftop parking lot with marked lanes. The background features a clear sky transitioning from orange to blue hues, suggesting either sunrise or sunset. The urban skyline is faintly visible, adding to the ambient setting.
An urban scene with a bright red public bus in the foreground and a silver SUV next to it on the road. The background features a modern glass building with reflective windows and signage, including logos resembling well-known brands. Trees and other urban elements are visible nearby.
An urban scene with a bright red public bus in the foreground and a silver SUV next to it on the road. The background features a modern glass building with reflective windows and signage, including logos resembling well-known brands. Trees and other urban elements are visible nearby.
A nighttime urban street scene with two SUVs driving along a dimly lit road lined by tall, modern buildings. A large digital billboard on one of the buildings displays a bright image of a person wearing sunglasses. Streetlights and the glow from windows provide illumination, while a few pedestrians are visible on the sidewalk.
A nighttime urban street scene with two SUVs driving along a dimly lit road lined by tall, modern buildings. A large digital billboard on one of the buildings displays a bright image of a person wearing sunglasses. Streetlights and the glow from windows provide illumination, while a few pedestrians are visible on the sidewalk.

Urban Driving Solutions

Innovating urban driving through advanced research design and data collection for autonomous decision-making.

An indoor parking lot with a large U1 sign painted on the wall. The environment features concrete walls with a grey base and a red and white section. A green exit sign with an arrow points left, and the floor is coated with a blue finish. There is a pedestrian control sign on the red section of the wall.
An indoor parking lot with a large U1 sign painted on the wall. The environment features concrete walls with a grey base and a red and white section. A green exit sign with an arrow points left, and the floor is coated with a blue finish. There is a pedestrian control sign on the red section of the wall.
Aerial view of an urban road intersection featuring a large white and green bus, a line of three cars including a white sedan, white compact car, and a red SUV. The scene includes painted road markings and a nearby red bus stop.
Aerial view of an urban road intersection featuring a large white and green bus, a line of three cars including a white sedan, white compact car, and a red SUV. The scene includes painted road markings and a nearby red bus stop.

Urban Driving Data

Collect diverse datasets for urban driving scenarios to enhance autonomous vehicle decision-making.

A black SUV is driving down a city street with blurred buildings in the background, indicating motion. The street is wide and multi-lane, with other vehicles in the background. The architecture of the buildings suggests a European city setting.
A black SUV is driving down a city street with blurred buildings in the background, indicating motion. The street is wide and multi-lane, with other vehicles in the background. The architecture of the buildings suggests a European city setting.
Data Collection Process

Gathering data on traffic, weather, and road layouts for training models.

Model Fine-Tuning

Adapting GPT-4 for complex autonomous driving decision-making in urban environments.

Simulation Environment

Creating high-fidelity simulations to test autonomous driving models under various conditions.

Research

Innovative solutions for urban driving challenges today.

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