Perception logo

Perception

by Innoviz Technologies · Since 2016
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ActiveAvailable globallyCloud
Quick facts
VendorInnoviz Technologies
Year launched2016
StatusActive
Location5 Uri Ariav st. Building C, Nitzba 300 Rosh Ha'ayin 4809202, Israel
Countries servedGlobal
Languages8
Integrations1+
Free tier
Free trial
Contact salesYES

About Perception

Perception is a software platform from Innoviz Technologies that focuses on LiDAR-based perception solutions for autonomous vehicles. It combines advanced object detection, environment mapping, and sensor fusion technologies so that vehicles can safely navigate complex environments. The platform supports real-time processing to deliver accurate perception data, enabling vehicles to respond appropriately to dynamic surroundings. With its capabilities, Perception is designed to handle challenging scenarios, improving the reliability of autonomous driving systems. Key capabilities: object detection environment mapping sensor fusion real-time processing compatibility with various sensor types Best for: automotive manufacturers and technology developers that need reliable perception solutions for autonomous vehicle systems.

Innoviz Perception is a cutting-edge software solution that plays a central role in advancing autonomous driving and smart systems, providing vehicles with an intelligent and accurate understanding of their surroundings. Developed as a complement to Innoviz’s advanced LiDAR hardware, the software leverages deep learning to interpret complex 3D environments with exceptional precision, enabling safer and more efficient autonomous operations. At its core, Innoviz Perception processes rich 3D point cloud data generated by Innoviz’s LiDAR sensors, transforming it into actionable insights through features such as object detection, classification, and tracking. Its ability to identify vehicles, pedestrians, bicycles, and other objects while maintaining their identities across frames makes it highly reliable for predicting movements and behaviors on the road. One of its standout capabilities, pixel collision classification, goes beyond traditional object detection by evaluating each point in the 3D environment to determine whether it poses a collision risk. This pixel-level granularity enhances the accuracy of navigation and path planning, a critical requirement for autonomous systems.

Pros & Cons

What users like
  • +Advanced 3D Perception Software: Enhances scene understanding with rich point cloud data and AI algorithms.
  • +Dual Object Detection Systems: Improves precision in recognizing and tracking objects.
  • +Pixel-Level Collision Classification: Sharp assessment of driveable vs. hazardous areas.
  • +Continuous Calibration: Maintains accuracy despite vehicle movement and vibration.
  • +Low Computing Power Requirement: Enables compatibility with various automotive-grade platforms.
  • +ISO 26262 Compliance: Aligns with safety standards for automotive systems.
  • +Broad Application Range: Useful in mobility, aerial tech, robotics, traffic systems, and security.
What users flag
  • Limited Detail on Software Scalability: Unclear how performance scales in extreme environments.
  • Potential Vendor Lock-in: Deep integration with Innoviz hardware might reduce flexibility with other systems.
  • No Public Benchmarking Mentioned: Missing comparative performance data versus competitors.
  • Resource Optimization Trade-offs: Low computing demand may limit some advanced features unless externally supported.

Features

Key features

Object Detection, Classification & Tracking
Accurately identifies and tracks various objects like cars, pedestrians, and bicycles, distinguishing them by shape and movement, and maintaining their identity across frames. 🚗🚶‍♀️🚲
Pixel Collision Classification
Precisely determines drivable areas by classifying each pixel in the 3D environment as collision-relevant or non-collision-relevant, reducing false positives. 🚧
Continuous Calibration
Automatically adjusts the sensor and LiDAR to the vehicle's coordinate system, correcting spatial displacement from road conditions and vehicle movements. 🛠️
Blockage and Range Estimation
Identifies and estimates obstructions and how environmental factors affect the sensor's range detection. 🌧️
ISO 26262 Compliant
Adheres to the international standard for functional safety in automotive systems, ensuring high safety integrity. 🔒
Low Computing Power Requirement
Designed to be very resource-efficient, making it compatible with various automotive-grade computing platforms. 💡

Additional features

3D LiDAR Point Cloud Perception Software Solution
The core capability that leverages data from LiDAR sensors and AI algorithms to understand 3D driving scenes.
Leading Object Detection, Classification, and Tracking Features
Identifies objects with high precision and tracks them across consecutive frames, including cars, trucks, motorcycles, pedestrians, and bicycles.
Collision Classification
Classifies objects and obstacles in the 3D environment as collision-relevant or non-collision-relevant.
Localization
Determines the precise position of the vehicle within its environment.
Calibration Capabilities
Performs continuous sensor and LiDAR calibration to ensure accuracy.
Enhancing Safety by Deploying Both LiDAR Software & Hardware
Works seamlessly with Innoviz's hardware offerings and other sensors to improve overall performance and safety.
Very Resource-Efficient and Requires Low Computing Power
Designed for compatibility with various automotive-grade computing platforms due to its low computational demands.
Object Detection, Classification & Tracking
Detects and tracks objects by their shape, attributes, and movement, maintaining object identity in consecutive frames.
Pixel Collision Classification
Accurately identifies the drivable area by classifying each pixel as collision-relevant (objects, obstacles) or non-collision-relevant.
Continuous Calibration
Calibrates the sensor's coordinate system with the vehicle's and corrects pixel spatial displacement caused by driving conditions.
Blockage and Range Estimation
Provides information on sensor blockages and estimates the effective range of the LiDAR, accounting for environmental factors.
ISO 26262 Compliant
Meets the functional safety standards required for automotive applications.
Lane Marking
Detects and classifies lane markings on the road.

Pricing

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Countries & Languages

Global
Countries served
8
Interface languages
13
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussian

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇿NZD🇳🇴NOK🇰🇷KRW🇷🇺RUB

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