Computer Vision inAutonomous Vehicles

Get your AI on the road faster. FiftyOne uses computer vision to accelerate development of autonomous and driver assistance solutions. By systematically curating datasets and analyzing model performance, your team can reduce development time and improve real-world accuracy.

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Benefits of CV for autonomous vehicles

Unlock your AI’s full potential with systematic data analysis

From ADAS to driver monitoring and more, data quality makes or breaks AI model performance. FiftyOne helps you curate high-quality datasets, analyze data and model results, and streamline development; turning R&D into real-world self-driving car success.

Physical AI Workbench

Build neural reconstructions on a foundation of high-quality data

The most advanced simulations depend on high quality data. The Physical AI Workbench accelerates computer vision in autonomous vehicles by generating accurate and validated sim-ready datasets; so every compute dollar yields usable results.

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Good neural reconstruction

Poor quality neural reconstruction

CV use cases for autonomous vehicles

Power any CV use case for autonomous vehicles

Computer vision plays a critical role in a wide variety of automotive use cases. That’s why leaders and innovators building solutions rely on FiftyOne.

Lane and object detection

Enhance the ability to detect and follow traffic lanes in tough conditions by quickly spotting gaps and outliers in training data and model results.

In-cabin analytics

Deliver new safety and improved driver experiences by using data insights to build reliable detection and analysis models.

Multi-camera sensor fusion

Group together visual data samples from multiple sensors and locations to create a better understanding of dynamic environments.

Lidar and radar point clouds

Build advanced solutions by being able to easily explore and visualize 3D data from multiple angles and sources.

Semantic segmentation

Analyze and improve perception of roads, obstacles, pedestrians, signs, and more to ensure safe navigation.

Video object tracking

Visualize videos, ground truth detections, and predicted trajectories to gain insights into your data and evaluate model accuracy.

Self driving machine learning features

How visual AI supports automotive CV and self-driving AI

Manage millions of multimodal samples through a united interface

Hands-free driving systems and vehicles rely on massive amounts of data. FiftyOne makes it easy to manage your samples across dozens of formats.

Multimodal datasets: images, videos, clips, frames, geolocation, and 3D lidar and radar point clouds

Any metadata you need: time of day, camera or device ID, location information, weather conditions, and anything else you need in your AI workflows

Any model you’re working with: lane detection, object detection, semantic segmentation, and many more

Quickly find the subsets of data you want

Sifting through massive amounts of data is like searching for a needle in a haystack. Pinpoint samples of interest in seconds using FiftyOne.

Create meaningful, balanced datasets: query samples by metadata to correct for imbalances

Accelerate training data selection: quickly find unique scenarios and anomalies in your data streams

Cover the edge cases: identify hard samples to strengthen your datasets and model performance

Only annotate what you need

Generating annotations can be complex, cumbersome, and costly. FiftyOne integrates with your favorite annotation tools to become your mission control for annotation workflows.

Stop passing data around: collaborate with teammates and vendors on a single source of truth

Stop overpaying for annotations: identify your most valuable samples to annotate, then automatically send them to your annotation vendor

Mitigate annotation mistakes: assess the quality of your annotations to improve both your datasets and models

Continuously build models that perform

Model training is never truly complete. With FiftyOne's continuous analysis and embedding-based diagnostics, you can quickly discover and address weaknesses in your data, refining your model iteratively for maximum accuracy.

Understand your model’s failure modes: browse model performance at the sample level so you can take the right steps to address failures

Embrace continuous evaluation: integrate FiftyOne into your training pipeline to evaluate and improve model performance and datasets with every model update

Manage dataset versions: track revisions to your datasets so you can view or rollback to previous versions of your datasets at any time

Increase productivity and efficiency

Automate dozens of computer vision workflows with FiftyOne so you can free up valuable engineering time and focus on what matters most.

Deliver features and innovations faster

Shave months of development time off your vision-based AI projects by using FiftyOne to accelerate data curation and model evaluation.

Save money on your tech stack

Avoid the unnecessary costs of manual data wrangling and overpaying for annotation and data collection by using FiftyOne to streamline and automate how you work with data.

Automotive computer vision features

Designed for AI builders

FiftyOne natively supports and enables the computer vision building blocks needed to develop robust automotive AI solutions.

Classification
Detection
Segmentation
Polygons and polylines
Keypoints
Pointclouds

Heatmaps
Geolocation
Embeddings
Multiview datasets
Images, videos, and 3D data

“From vehicle safety and autonomy to security systems to robotics, Bosch is a leader in artificial intelligence solutions utilizing computer vision. Voxel51’s solutions help us organize, evaluate and refine our data and models, enabling us to develop robust, reliable AI applications across multiple teams and projects. ”
Arvind Kumar Shekar
Lead Expert AI Validation, Bosch

Computer vision resources

Learn more about visual AI in automotive

Learn how visual AI is increasing safety, autonomy, and efficiency in automotive and mobility applications.

How to Make the Best Self-Driving Dataset

In the race to safely release fully autonomous vehicles, understanding self-driving datasets is key. Learn more about the tools and techniques shaping the future of self-driving technology.

Data eats models for lunch

Talk to our computer vision experts to start building better datasets and models.

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