VEHICLES

NOTUS Vehicle Pose Estimation

Model Overview

Operating from an elevated perspective, the NOTUS Vehicle Pose Estimation algorithm is effective across a wide range of environments from urban to rural. Use this model as a part of your ADAS system to predict vehicle movements, or for smart city applications, traffic analytics, insurance purposes, or intelligent transportation systems. NOTUS is made possible by CVEDIA synthetic data technology, enabling accurate interpretation of vehicle yaw, pitch, and roll across a given camera’s field of view. NOTUS is effective in both low lighting conditions and inclement weather.

Highlights

Performance

Optimized for edge performance with a low power profile

Range

300 metres

Conditions

Dawn to dusk

Environment

Environmentally-agnostic performance

About CVEDIA

CVEDIA is a pioneer in the use of synthetic data for machine perception. We use deep learning to create synthetic-based detection and classification algorithms. CVEDIA models actually outperform traditional models because synthetic data allows for feature-based design. That means our models are safer and quicker to market. Today we work with over 30 of the world’s largest companies on their most complex deep learning projects.

Every model is backed by an ongoing maintenance service, as well as the ability to customize and add to a model through our in-house development team. We’ll even help you deploy our models in your software stack. Contact us for more information.

Operating Specifications

FUNCTIONALITY

Detection

SENSOR MODALITY

Visible light

ARCHITECTURE

Backbone: Resnet-101, Detector: RefineDet

KERNEL INPUT SIZE

512×512

CVEDIA Services

Maintenance

Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep. Reach out to us for more information.

Fine Grain Classification

Speak to our team to discuss vehicle classification as a service add on or as a separate model. CVEDIA’s in-house team will work with you to define your requirements, and build a synthetic-based model incorporating your classification specifications.

Additional Classes

CVEDIA models are built using proprietary synthetic data technology – meaning adding additional classes to your model is possible in a matter of weeks.

Use Cases

ADAS / Vehicles

Use NOTUS as a part of your ADAS or autonomous driving system to track and predict vehicle positions. NOTUS functions in low lighting and inclement weather, and is effective in heavy traffic and complex urban environments.

Smart Cities

Use NOTUS as a reliable component of your smart intersection grid. Use NOTUS to analyze traffic movements and behaviour, and track vehicle movements in real-time.