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
WaveFarer is an advanced radar simulation tool that effectively models multipath effects and scattering caused by nearby structures and vehicles, as well as crucial atmospheric impacts for frequencies that can exceed 100 GHz. Its diverse applications range from simulating automotive driving conditions to enhancing indoor sensor functionalities and analyzing far-field radar cross sections (RCS). The capabilities of WaveFarer facilitate prompt and precise evaluations of scenarios where radars are situated in close quarters with various structures, targets, and environmental features. Tailored to meet the needs of radar system simulation, WaveFarer aids in assessing the optimal placement of automotive radar sensors and interpreting target returns in virtual driving environments. Additionally, it provides valuable insights for surveillance radar applications by examining the RCS of targets and how different materials can influence measurement outcomes, ensuring a comprehensive understanding of radar interactions in various contexts. With its robust features, WaveFarer stands out as a vital tool for radar analysis and simulation across multiple domains.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Baidu
Yes
NVIDIA DRIVE
No
Red Hat Enterprise Linux
No
Simulink
Yes
Integrations
Baidu
No
NVIDIA DRIVE
Yes
Red Hat Enterprise Linux
Yes
Simulink
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
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
Remcom
Founded
1994
Country
United States
Website
www.remcom.com/wavefarer-automotive-radar-software
Product Features
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No