A protocol for real-time transfer and visualization of autonomy data like sensor feeds and vehicle state.
XVIZ is a protocol for real-time transfer and visualization of autonomy data, such as sensor feeds, vehicle state, and object detections. It standardizes how self-driving systems communicate data to visualization clients, enabling efficient debugging and development of autonomous technologies.
Autonomous vehicle engineers, robotics developers, and researchers working on real-time data visualization and telemetry for self-driving systems.
Developers choose XVIZ for its specialized focus on autonomy data, modular tooling for data conversion and serving, and support for streaming real-time sensor and vehicle information with low latency.
A protocol for real-time transfer and visualization of autonomy data
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Enables low-latency transfer of sensor inputs and vehicle pose, as specified in the key features, crucial for debugging autonomous systems in real-time.
Provides separate libraries like @xviz/builder and @xviz/parser, allowing flexible integration into existing autonomy data pipelines without monolithic dependencies.
Includes sample converters for KITTI and NuScenes datasets, facilitating quick experimentation and validation with standard autonomy data formats.
Schema validation utilities ensure data consistency and correctness, reducing errors in critical autonomous system development, as highlighted in the key features.
Tailored specifically for autonomy data, making it less suitable for general-purpose real-time visualization projects outside robotics or self-driving technologies.
Requires multiple steps including data download and conversion scripts, as shown in the quick start with KITTI example, which can be a barrier to rapid prototyping.
As a specialized protocol, it lacks the extensive community support and third-party tools available in broader data visualization frameworks like WebSocket-based solutions.