WeRide GENESIS Unites Physical and Generative AI to Redefine Autonomous Driving Simulation

WeRide GENESIS Unites Physical and Generative AI to Redefine Autonomous Driving Simulation

WeRide genesis--

 

3.  Closed-loop optimization with continuous feedback

 

Safety and passenger comfort remains a core priority of autonomous driving, and WeRide GENESIS enhances this through the AI Metrics and AI Diagnosis modules, forming a systematic closed-loop framework for evaluation and optimization.

 

BACA JUGA:Aturan Komdigi Terbaru, Registrasi Nomor HP Wajib Rekam Wajah

BACA JUGA:Kasihan Eks Honorer Ini, 12 Tahun Mengabdi di RSUD Tais, Nama Tak Masuk Database BKN

The AI Metrics module provides a quantitative evaluation system covering safety, compliance, comfort, and travel efficiency. It translates driving behaviors into measurable performance metrics, enabling automated assessment of algorithm improvements. For example, passenger discomfort caused by sudden braking is captured as a specific Comfort Score and fed back to algorithm teams in real-time for targeted optimization and revalidation.

 

The AI Diagnosis module automates root-cause analysis and provides recommendations for improvement. It can detect sub-optimal driving behaviours, analyze their underlying causes, and provide actionable solutions. For example, when an AV encounters perception delays or prediction errors in complex interactive scenarios, the system can quickly diagnose, fix, and revalidate performance, ensuring the vehicle constantly behaves as expected.

 

4.  One platform for global use

 

WeRide GENESIS is a highly versatile simulation platform that supports diverse urban road conditions, sensor perspectives and vehicle configurations. It can accommodate a range of AVs, from Level 2++ advanced driver-assistance systems to autonomous Level 4 Robotaxis. This allows WeRide's AI drivers worldwide to be trained and tested on a single platform without the need for separate simulations for different cities or vehicle types, optimizing R&D resources and accelerating AV deployment.

 

Sumber: