You will get Apply YOLO in CARLA simulation
Project details
This project integrates YOLO (You Only Look Once) with CARLA simulation for real-time object detection and trajectory prediction in autonomous driving scenarios. Three detection types are implemented:
Type C: Returns only the object name (e.g., "car," "pedestrian").
Type B: Provides object name + future trajectory (predicted path using motion models).
Type A: Uses a multi-modal (vision + language) model to generate detailed textual descriptions (e.g., "A red sedan turning left").
The system processes CARLA's sensor data (cameras, LiDAR) with YOLO for detection, enhances tracking with trajectory prediction, and employs NLP for rich object descriptions. Applications include autonomous vehicle perception, traffic analysis, and simulation testing.
Type C: Returns only the object name (e.g., "car," "pedestrian").
Type B: Provides object name + future trajectory (predicted path using motion models).
Type A: Uses a multi-modal (vision + language) model to generate detailed textual descriptions (e.g., "A red sedan turning left").
The system processes CARLA's sensor data (cameras, LiDAR) with YOLO for detection, enhances tracking with trajectory prediction, and employs NLP for rich object descriptions. Applications include autonomous vehicle perception, traffic analysis, and simulation testing.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 30 days | 60 days |
Number of Revisions | 1 | 4 | 8 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Yusuf
Robotics Engineering | Artificial Intelligence, Deep Learning
Sanaa, Yemen - 12:25 pm local time
optimal motion planning in self-driving vehicles. Passionate about AI,
robotics, and autonomous systems. Exploring real-world applications
through simulations and innovative projects.
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Delivery time starts when Yusuf receives requirements from you.
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