XPENG G9 Equipped with Dual Automotive-Grade LiDAR Sensors from RoboSense

0
52






Shenzhen, China:
 

RoboSense, a world-leading supplier of Smart LiDAR Sensor Systems introduced XPENG G9 geared up with two RoboSense second-generation Smart Solid-state LiDARs (RS-LiDAR-M1). On September 21, XPENG Motors held the “G9 Flagship SUV Immersive Experience” on-line launch occasion and formally launched XPENG G9. XPENG G9 is positioned as “the world’s Fastest-Charging electric SUV”. It achieved a breakthrough and went going from growth of “independent functions” to “global intelligence”.


 

This press launch options multimedia. View the total launch right here: https://www.businesswire.com/news/home/20220923005230/en/


 

XPENG G9 equipped with two RoboSense second-generation smart solid-state LiDARs, to realize full-scenario intelligent driver assistance. (Graphic: Business Wire)

XPENG G9 geared up with two RoboSense second-generation sensible solid-state LiDARs, to comprehend full-scenario clever driver help. (Graphic: Business Wire)


G9 additional demonstrates XPENG’s innovation within the subject of intelligence. From the early features of autonomous parking, voice management to driver help, G9 makes use of XPENG’s second-generation ADAS, XNGP, geared up with two RoboSense second-generation sensible solid-state LiDARs, to comprehend full-scenario clever driver help.


 

The sensing system of the X Version of G9 makes use of 31 sensors. In explicit, two RoboSense second-generation sensible solid-state LiDARs are deployed beneath the headlights on either side of the car, overlaying 180° horizontal view, successfully decreasing the dimensions of vertical blind spots and thus tackling numerous complicated driving eventualities in city areas extra successfully. This tremendously improves the clever driving expertise of G9, enabling it to run gracefully within the bustling site visitors in city eventualities.


 

With two sensible solid-state LiDARs to spice up efficiency, XNGP ADAS integrates new-generation visible notion and sensor fusion applied sciences, extra highly effective computing algorithms and decision-making and planning capabilities, which is able to obtain full protection of every day driving eventualities together with highways, city expressways/principal trunk roads/sub trunk roads, parks roads and parking heaps and join factors reminiscent of high-speed toll stations, parking zone gates, and many others. to develop into a sophisticated clever driver-assistance system that meets the every day commuting wants.

See also  Velodyne Lidar Signs Multi-Year Agreement with Stanley Robotics


 

In accordance with strict passenger car automotive-grade requirements, RoboSense second-generation sensible solid-state LiDAR has handed a collection of reliability checks and totally meets the security, reliability, service life and different necessities of XPENG G9 in high-speed and concrete complicated highway eventualities.


 

With its main technological strengths within the subject of LiDAR, RoboSense has obtained design wins for greater than 50 fashions from corporations together with XPENG, Great Wall Motor, BYD, FAW Hongqi, GAC AION, ZEEKR, WM Motor, Lotus Cars, Lucid Motors, Inceptio Technology and Zhito Technology. RoboSense will at all times pursue technological innovation and hold selling the large-scale manufacturing of sensible automobiles.


 

About RoboSense


 

RoboSense (Suteng Innovation Technology Co., Ltd.) is a world-leading supplier of Smart LiDAR Sensor Systems. With a whole portfolio of LiDAR sensors, AI notion and IC chipsets, RoboSense transforms typical 3D LiDAR sensors with complete knowledge evaluation and interpretation techniques.


 

About XPeng Inc.


 

XPeng is a number one Chinese Smart EV firm that designs, develops, manufactures, and markets Smart EVs that enchantment to the big and rising base of technology-savvy middle-class shoppers. Its mission is to drive Smart EV transformation with know-how and knowledge, shaping the mobility expertise of the longer term.


 


 







Source by [author_name]

LEAVE A REPLY

Please enter your comment!
Please enter your name here