Hyperspec Enables
Contextual Understanding of Physical Spaces
Combining the logical reasoning of language and 3D spatial data, Hyperspec enables a robust generalized methodology to understand our surroundings. This enables more robust, succinct software to have enhanced capability with generalized abstraction.
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Seamless Mapping capabilities
Affordable and scalable precision mapping process
Tools & Features
Our RoadMentor platform is a one stop shop for all of your machine learning needs. Unlock the true potential of your robotic fleet.
1
DATA CAPTURE
Capture and record data to the HyperLite Mapping Kit and Upload to RoadMentor
2
FEATURE EXTRACTION
Utilize RoadMentor to process the Sensor Data for Feature Extraction and AutoLabeling
3
PUBLISH MAPS / POLICIES
Publish LAS Data / GEOJSON GIS Data in WGS84 or UTM Coordinate Space
Perception Vs Reality
Collect Data
Upload, index and tag interesting scenarios
Autolabel
Autolabel the scenario data to prepare dataset
Review Data
Augment Autolabeling with Ground Truth Tools
Train ML
Regressively test your scenarios for ML Training
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SCHEDULE A CALLExplore our Sample Dataset
RoadMentor is a cutting-edge MLOps platform designed specifically for Advanced Driver Assistance Systems (ADAS) vehicles. It provides a centralized platform for managing and deploying machine learning models in ADAS vehicles, enabling efficient and streamlined development, testing, and deployment processes. The platform enables organizations to quickly and easily deploy and manage machine learning models for autonomous vehicles, reducing the time and cost associated with developing, testing, and deploying models.
This dataset provides a comprehensive overview of the platform’s capabilities, including real-time data from ADAS vehicles, as well as results from various machine learning models. The sample dataset is a great tool for developers and data scientists to gain a deeper understanding of the platform and its capabilities.
