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
- 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.
- 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
Accurately identifies and tracks various objects like cars, pedestrians, and bicycles, distinguishing them by shape and movement, and maintaining their identity across frames. 🚗🚶♀️🚲
Precisely determines drivable areas by classifying each pixel in the 3D environment as collision-relevant or non-collision-relevant, reducing false positives. 🚧
Automatically adjusts the sensor and LiDAR to the vehicle's coordinate system, correcting spatial displacement from road conditions and vehicle movements. 🛠️
Identifies and estimates obstructions and how environmental factors affect the sensor's range detection. 🌧️
Adheres to the international standard for functional safety in automotive systems, ensuring high safety integrity. 🔒
Designed to be very resource-efficient, making it compatible with various automotive-grade computing platforms. 💡
Additional features
The core capability that leverages data from LiDAR sensors and AI algorithms to understand 3D driving scenes.
Identifies objects with high precision and tracks them across consecutive frames, including cars, trucks, motorcycles, pedestrians, and bicycles.
Classifies objects and obstacles in the 3D environment as collision-relevant or non-collision-relevant.
Determines the precise position of the vehicle within its environment.
Performs continuous sensor and LiDAR calibration to ensure accuracy.
Works seamlessly with Innoviz's hardware offerings and other sensors to improve overall performance and safety.
Designed for compatibility with various automotive-grade computing platforms due to its low computational demands.
Detects and tracks objects by their shape, attributes, and movement, maintaining object identity in consecutive frames.
Accurately identifies the drivable area by classifying each pixel as collision-relevant (objects, obstacles) or non-collision-relevant.
Calibrates the sensor's coordinate system with the vehicle's and corrects pixel spatial displacement caused by driving conditions.
Provides information on sensor blockages and estimates the effective range of the LiDAR, accounting for environmental factors.
Meets the functional safety standards required for automotive applications.
Detects and classifies lane markings on the road.
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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.
Perception Details
Perception's In-App Market Place
Does Perception have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), NOK (kr), KRW (₩), RUB (₽)
Pros & Cons
- 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.
- 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.
Perception's Support Options
Email Address
sales@innoviz-tech.comContact
+972-74-700-3692Perception's Alternatives
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