Downloads · 30 days
0
jkdxbns/autonomous-driving-carla
autonomous-driving-carla is a machine learning model from jkdxbns. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pre-trained models for autonomous driving in the CARLA 0.9.15 simulator.
Downloads · 30 days
0
Access
Public
Updated Dec 21, 2025
Repo size
986 MB
Likes
0
Public
Click a slice to open those files.
.pth980 MB · 99%
From the Hugging Face model README
Pre-trained models for autonomous driving in the CARLA 0.9.15 simulator.
| Model | File | Size | Description |
|---|---|---|---|
| YOLO11n | yolo_carla_best.pt | ~6MB | Object detection (vehicles, pedestrians, traffic lights, speed signs) |
| UFLD | ufld_carla_best.pth | ~735MB | Lane detection fine-tuned on CARLA |
| TuSimple | tusimple_18.pth | ~245MB | Pre-trained lane detection backbone |
Custom-trained on CARLA simulator data.
Classes:
Training:

Fine-tuned Ultra Fast Lane Detection model.
Architecture:
Training:

from huggingface_hub import hf_hub_download
# Download YOLO model
yolo_path = hf_hub_download(
repo_id="jkdxbns/autonomous-driving-carla",
filename="yolo_carla_best.pt"
)
# Download UFLD model
ufld_path = hf_hub_download(
repo_id="jkdxbns/autonomous-driving-carla",
filename="ufld_carla_best.pth"
)
Full source code: github.com/jkdxbns/autonomous-driving-carla
Justin Mascarenhas
CMPE 789 - Robot Perception
Rochester Institute of Technology
MIT License