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What is NVIDIA DRIVE Map?

NVIDIA DRIVE® Map is a sophisticated mapping solution specifically designed to bolster vehicle autonomy while prioritizing safety. It combines accurate ground truth mapping with the nimbleness and extensiveness of AI-powered fleet-generated mapping, yielding impressive outcomes. The platform incorporates four unique localization layers—camera, lidar, radar, and GNSS—offering essential redundancy and adaptability for advanced AI-driven systems. Emphasizing unparalleled accuracy, the ground truth map engine creates DRIVE Maps by synthesizing data from various sensors, such as cameras, radars, lidars, and differential GNSS/IMU, all collected via NVIDIA DRIVE Hyperion data collection vehicles. It achieves remarkable precision of under 5 cm, especially in high autonomy contexts (L3/L4), in settings like urban landscapes and highways. Tailored for swift performance and global compatibility, DRIVE Map takes advantage of both ground truth and fleet-generated data, representing the collective intelligence of millions of vehicles on the road. This cutting-edge methodology not only improves mapping accuracy but also plays a vital role in advancing the future of autonomous driving technology, paving the way for safer roadways and smarter transport systems.

What is Apollo Autonomous Vehicle Platform?

Various sensors such as LiDAR, cameras, and radar collect data about the surrounding environment of the vehicle. Utilizing sensor fusion technology, advanced perception algorithms are capable of accurately detecting, positioning, evaluating the velocity, and establishing the orientation of objects on the road in real-time. This autonomous perception framework is bolstered by Baidu's vast big data resources and deep learning expertise, complemented by an extensive collection of labeled driving data derived from actual driving experiences. Furthermore, the comprehensive deep-learning platform, along with GPU clusters, supports simulation, allowing for the virtual navigation of millions of kilometers each day through a range of real-world traffic and autonomous driving scenarios. This simulation service provides partners with a multitude of autonomous driving situations, enabling rapid testing, validation, and refinement of models while emphasizing safety and efficiency. In essence, this cutting-edge methodology not only improves the dependability of autonomous systems but also significantly hastens their development timelines, fostering innovation in the industry. As a result, the integration of these technologies sets a new standard for future advancements in autonomous driving.

Media

Media

Integrations Supported

Baidu
Simulink

Integrations Supported

Dragon Metrics

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Not specified

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/hd-mapping/

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

apollo.auto/

Categories and Features

Autonomous Driving

Not specified

LiDAR

Not specified

Categories and Features

Autonomous Driving

Not specified

LiDAR

Not specified

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