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Car Pose Estimation.
Effective in urban to rural environments. Predicts car movements, effective in low light and inclement weather. CVEDIA technology.
PERFORMANCE
Optimized for edge performance with a low power profile.
RANGE
Up to 300 meters.
CONDITIONS
Dawn to dusk.
ENVIRONMENT
Environmentally-agnostic performance.
ARCHITECTURE
Backbone: Resnet-101; Detector: RefineDet.
FUNCTIONALITY
Detection.
INPUT SIZE
512x512.
SENSOR MODALITY
Visible light.
Use cases.
Detect and track vehicle poses with yaw, pitch, and roll.
ADAS and vehicles
Use this algorithm as a part of your ADAS or autonomous driving system to track and predict car positions. The Car Pose Estimation functions in low lighting and inclement weather, and is effective in heavy traffic and complex urban environments.
Smart cities
Use it as a reliable component of your smart intersection grid, to analyze traffic movements and behavior, and to track car movements in real-time.
Our services.
We offer maintenance services for our AI models and provide the option to add fine grain classification or additional classes through our in-house team. Our models are built with proprietary synthetic data technology, allowing for quick integration of new classes.
Maintenance
Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep.
Fine classification
Discuss fine grain classification with our team and get an answer today. We'll work with you to build a synthetic-based model to meet your specifications.
Additional classes
Our models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.
