Urban perception for Level 3 autonomous driving

Helm.ai Vision delivers accurate, robust perception for complex urban environments with geographic variation, diverse objects, dynamic pedestrian and vehicle interactions, and varying road geometries.

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Advantages of Helm.ai Vision

Highly accurate and temporally stable

Trained with Deep Teaching™ on large-scale real-world datasets, Helm.ai Vision delivers consistent, high-precision perception across dynamic urban and highway driving environments.

Reliable in rare and challenging scenarios

Our advanced perception system accurately detects vehicles, pedestrians, lane markings, and road signs—even in rare, adverse, or low-visibility conditions..

Geographically adaptive

Helm.ai Vision performs reliably across varied geographies and road geometries, thanks to diverse training data and model generalization.

Streamlining production deployments of full-stack AI

Validated for mass production and fully compatible with Helm.ai Driver, our perception system reduces validation effort and enhances interpretability.

URBAN PILOT

Bird's eye view perception

Surround view with semantic segmentation and 3D bounding boxes

Fisheye perception

Surround view: Rain

Surround view: Night

Lane parsing

Segmentation: Snow and puddle

Segmentation: generic obstacles

key capabilities

Vision-first architecture

Our perception system supports both single- and multi-camera surround-view setups, and can be extended to integrate with lidar and other sensor modalities as needed.

Real-time inference for production deployment

Optimized for efficient inference, Helm.ai Vision supports real-time object detection, classification, and semantic segmentation, enabling deployment on a wide range of automotive compute platforms.

Bird's eye view perception (BEV)

By fusing multi-camera input, Helm.ai Vision generates a unified top-down spatial view of the environment, enhancing situational awareness for planning and control systems.

Designed for safety-critical production

Helm.ai Vision includes ISO 26262 ASIL-B(D) certified components and is assessed at ASPICE Level 2, confirming its readiness for integration into mass-production vehicles.

Mapless autonomy

Helm.ai Vision eliminates the need for expensive HD maps by providing real-time semantic segmentation, 3D bounding boxes, and distance estimates.

Vehicle and hardware agnostic

Helm.ai Vision is compatible with a broad range of vehicle types, sensor configurations, and leading automotive compute platforms including NVIDIA, Qualcomm, Texas Instruments, and Ambarella.

URBAN AND HIGHWAY PERCEPTION features

Vehicles
Lane boundaries
Road markings (e.g., crosswalks, stop lines, speed limits)
Road conditions
Generic obstacles
Pedestrians
Traffic signs
Traffic lights
Freespaces
Road boundaries (e.g., vegetation, curb, sidewalks)
Buildings

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