carla-real-traffic-scenarios
by deepsense-ai
AI summary
Traffic simulator
Creates realistic traffic scenarios in a virtual environment.
- stars
- 79
- forks
- 23
- watching
- 4
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Scenario runner
An engine for executing and simulating traffic scenarios in the CARLA environment
Driving simulator
Provides tools and datasets for simulating driving scenarios with deep imitation learning
ROS bridge
Enables communication between ROS and CARLA simulator
Benchmarking suite
A repository of benchmarking scripts for the CARLA simulator
Autonomous driving simulator
A reinforcement learning project to train an autonomous driving agent in a simulated environment using a deep learning approach
CARLA wrapper
A CARLA simulator wrapper for reinforcement learning and imitation learning environments
Data Extractor
Extracts semantic segmentation and depth prediction data from the Carla Urban Driving Simulator dataset
Autonomous driving simulator
A research platform for autonomous driving simulation and testing
AV simulator integration
Integrates Autoware AV software with the CARLA simulator
Lane detector
Lane detection algorithm for CARLA simulator using Python
Autonomous Agent Simulator
A Reinforcement Learning project for training an autonomous driving agent in a simulated environment using the Carla game engine
Data Collector
Automates data collection from the CARLA simulator for use in semantic segmentation training.
Simulator client library
A collection of Python examples and utilities for interacting with the Carla simulator
Traffic monitor
Monitors traffic rules in a CARLA simulator to ensure compliance with formalized rules
Autonomous driving simulator
An AI project that uses conditional imitation learning to enable autonomous vehicles to learn from demonstrations and perform tasks in a simulated environment.
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