This is the Linux app named DriveLM whose latest release can be downloaded as DriveLMsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named DriveLM with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
DriveLM
DESCRIPTION
DriveLM is a research-oriented framework and dataset designed to explore how vision-language models can be integrated into autonomous driving systems. The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic.
Features
- Graph visual question answering framework for driving reasoning
- Dataset supporting perception, prediction, planning, and motion tasks
- Integration with simulation environments such as nuScenes and CARLA
- Human-written reasoning annotations connecting driving subtasks
- Benchmark metrics and evaluation tools for vision-language driving models
- Baseline agents demonstrating language-driven autonomous driving
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/drivelm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
