Exwayz develops high-level spatial intelligence technology using Simultaneous Localization and Mapping (SLAM) to see, map, and understand space in real-time. Their core product is robust, LiDAR-based localization embedded software designed for autonomous systems operating in structured environments. This technology provides precise, actionable spatial awareness for applications ranging from autonomous vehicles to industrial robotics.
Funding
Funding not disclosed
Founders
Product
Problem
Integrating and processing 3D LiDAR data for real-time perception and localization is complex and time-consuming, hindering the development of advanced applications in sectors like automotive and robotics. Developers often face challenges with sensor compatibility, algorithm performance, and the need for extensive custom development to extract meaningful insights from LiDAR point clouds.
Solution
Exwayz provides a comprehensive Software Development Kit (SDK) designed for real-time 3D LiDAR data processing, enabling developers to embed advanced perception and localization algorithms directly into their products. The SDK is sensor-agnostic and cross-platform, supporting Linux and Windows operating systems, which significantly accelerates time-to-market for applications in automotive, mobile robotics, and drone industries. Exwayz's solution offers robust capabilities for object detection, tracking, and Simultaneous Localization and Mapping (SLAM), allowing businesses to leverage the full potential of 3D LiDAR data without extensive in-house algorithm development. The components are engineered to operate at over 20 Hz, ensuring real-time performance critical for dynamic environments.
Target Audience
The primary target audience includes developers and engineers in the automotive, mobile robotics, and drone industries who require efficient and robust 3D LiDAR processing capabilities for their products.
Features
- Sensor-agnostic SDK supporting all 3D LiDAR sensors on the market.
- Cross-platform compatibility for Linux and Windows operating systems.
- Real-time processing capabilities exceeding 20 Hz for all software components.
- Object detection module providing 3D oriented bounding boxes and point-wise semantic classification using an in-house AI perception pipeline.
- Object tracking component with unique, time-coherent identifiers, trajectory estimation, and robustness to occlusions.
- SLAM (Simultaneous Localization and Mapping) module for high-precision 6DOF pose estimation, supporting indoor and outdoor environments with egomotion compensation.
- Large-scale mapping functionality generating dense, classified 3D point cloud maps with up to 8 semantic classes.
- Integration support for Intempora RTMaps™ development environment.
- Available through various programming languages and development environments common in robotics.