Nullmax deepens collaboration with Black Sesame Technologies for integrated NOA solutions

Beijing (Gasgoo)- On January 11, autonomous driving tech firm Nullmax and Black Sesame Technologies signed a deepened cooperation agreement at the CES 2024, aiming to jointly provide high-performance and cost-effective Advanced Driver Assistance Systems (ADAS) solutions for automakers and Tier1 suppliers worldwide.

Photo credit: Black Sesame Technologies

Based on their existing strategic cooperation agreement signed in 2021, Nullmax and Black Sesame Technologies leverage their respective strengths in autonomous driving technology. By harnessing software algorithms and chip platform advantages, they have been creating integrated solutions catering to diverse needs, significantly supporting the mass production application of autonomous driving algorithm integration for automotive industry clients. The collaboration has yielded numerous groundbreaking technical achievements by combining Nullmax's software algorithm capabilities with Black Sesame Technologies' chip development prowess.

In this enhanced collaboration, Nullmax will utilize Black Sesame Technologies' Wudang C1200 series high-performance cross-domain computing chips, and offer a Transformer-based high-performance BEV algorithm, collaborating to develop an industry-leading, cost-effective single-chip NOA (Navigate on Autopilot) intelligent driving solution. 

This solution will unleash the powerful cross-domain computing capabilities of the C1200 chip series, delivering an ultimate intelligent experience while further reducing the overall cost of vehicle intelligence technologies facilitating the widespread adoption of advanced intelligent driving applications, particularly those represented by NOA.

Having previously developed and mass-produced multiple single-chip autonomous driving solutions, Nullmax's deepened collaboration with Black Sesame Technologies will further enrich the market options for single-chip NOA integrated parking and driving solutions, meeting the automotive industry's mass production demands for advanced intelligent driving.