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.

BOOK A DEMO

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

Request a demo from our AI experts

Explore Helm.ai’s AI software, foundation models, and AI-based development and validation tools.

Get in touch

Other products

HELM.AI DRIVER

Vision-only, real-time neural network for path planning that excels at predictive tasks and human-like driving in complex scenarios.
LEARN MORE

GENSIM-2

Generative AI model for modifying real-world driving data and fully synthetic videos for training and validation.
LEARN MORE

VIDGEN-2

Generative AI foundation model for producing highly realistic driving videos to support large-scale training, validation, and scenario generation.
LEARN MORE