Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA DRIVE® Map is an advanced mapping platform crafted to support the utmost levels of vehicle autonomy while enhancing safety measures. By merging precise ground truth mapping with the agility and scale of AI-driven fleet-sourced mapping, it achieves remarkable results. The system utilizes four distinct localization layers—camera, lidar, radar, and GNSS—ensuring the necessary redundancy and flexibility for sophisticated AI drivers. With a focus on exceptional accuracy, the ground truth map engine generates DRIVE Maps by integrating a variety of sensors, including cameras, radars, lidars, and differential GNSS/IMU, all captured through NVIDIA DRIVE Hyperion data collection vehicles. It delivers an impressive accuracy of better than 5 cm, particularly in high autonomy scenarios (L3/L4), in environments like highways and urban areas. Designed for rapid operation and global adaptability, DRIVE Map leverages both ground truth and fleet-sourced information, encapsulating the shared knowledge of millions of vehicles on the road. This innovative approach not only enhances mapping precision but also contributes to the evolving landscape of autonomous driving technology.
Description
Vecten Desktop is a specialized software designed for the classification of LiDAR point clouds generated from both airborne and UAV surveys. It streamlines workflows by categorizing tasks into local projects and blocks, allowing for the input of LAS, LAZ, and COPC file formats, and generates classified point clouds complete with review layers and attributes for verification and subsequent handoff. The software features VGround for identifying ground surfaces, bridge decks, and noise, while VClassify focuses on vegetation and building identification; additionally, VUtilities addresses wires, poles, and towers specifically for utility corridors. Different teams in surveying, mapping, engineering, and utility sectors can choose from various modules based on their specific output needs for terrain extraction, semantic classification, infrastructure analysis, or corridor asset management. The classification process is efficient and takes place on a local workstation, eliminating the need for cloud-based uploads for inference. Furthermore, there are plans for Vecten Cloud, which will serve as a browser-based companion tool, and interested users can join the waitlist for future access. This expansion reflects the commitment to enhancing accessibility and functionality for users across various industries.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Baidu
No
Simulink
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Vecten Desktop is enterprise-licensed, with licensing available on request.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/self-driving-cars/hd-mapping/
Vendor Details
Company Name
Vecten AI
Founded
2026
Country
Canada
Website
www.vecten.ai