Asian Surveying & Mapping
Breaking News
Swift Navigation and SK Telecom Partner to Accelerate the Deployment of AI-Powered Location-Based Products in Korea
SAN FRANCISCO - Swift Navigation (“Swift”), a market leader...
Esri India Achieves 1 Million Users Milestone
Esri India, the leading provider of Geographic Information System...
Bank Negara, Malaysian Space Agency to bolster financial management ecosystem via space technology
KUALA LUMPUR: Bank Negara Malaysia has partnered with the...
Nepal’s president advisor resigns after criticising inclusion of Indian areas in map on new currency
The economic advisor to Nepal’s president on Sunday (May...
TASA to launch six satellites from 2026
The Taiwan Space Agency (TASA) yesterday said it plans...
Japan to provide flood risk maps for four South-East Asian countries – Indonesia, Vietnam, Thailand and Cambodia
JAKARTA/TOKYO: Japan plans to start providing flood risk maps...
Ecolab and ITE partners to harness water management knowledge for Singapore data center engineers
SINGAPORE, 29 APRIL 2024 – Nalco Water, an Ecolab...
NASA releases satellite photos of Dubai and Abu Dhabi before and after record flooding
NASA released photos of parts of Dubai and Abu...
Singapore releases 10-year Geospatial Master Plan
Singapore has launched its new Geospatial Master Plan (2024–33),...
Japan announces plans to launch upgraded observation satellites on new flagship rocket’s 3rd flight
TOKYO (AP) — Japan’s space agency announced Friday a...

August 8th, 2023
Innoviz Technologies to Develop B-Samples of New LiDAR Platform for Next Generation of BMW Automated Vehicles

Innoviz Technologies (NASDAQ: INVZ) and the BMW Group are expanding their collaboration by starting a B-sample development phase on a new generation of LiDAR. Under the new development agreement, following BMW requirements, Innoviz will develop these B-Samples based on its second generation InnovizTwo LiDAR sensor.

After a couple of years working together on an existing program that will include the first deployment of LiDAR-enabled highly automated technology on the BMW 7 Series later this year, the BMW Group and Innoviz are beginning to focus on the next-generation of the technology by starting this first B-sample phase. The result of this first phase will enable the BMW Group to decide on a serial development agreement with Innoviz that will focus on bringing a new array of advanced automated capabilities to a broader range of the BMW lineup.

“LiDAR is one of the critical technologies underpinning Level 3 or even higher automated functions. Optimizing LiDAR technologies and costs are the major challenges in order to bring Level 3 highly automated driving into the mainstream,” said Nicolai Martin, SVP Driving Experience BMW Group. “We are very pleased to have Innoviz develop the first B-Samples of this new LiDAR generation and hope that the results of the B-Sample phase create a basis for a possible future extension of our collaboration.”

“From our work with the BMW Group over the past several years, we know that they operate with some of the highest standards in the automotive industry,” said Omer Keilaf, Innoviz Co-Founder and CEO. “We are excited to begin this new project on the second-generation LiDAR solution by working on the B-samples. BMW is at the forefront of ADAS technology, and we could not be more thrilled to have an opportunity to become an integral part of the next stage of its journey.”

In addition to the LiDAR solution for the 7 Series, the BMW Group and Innoviz have started this first phase to develop an expected first-ever LiDAR based Minimal Risk Maneuver (MRM) system in the future. The MRM acts as a secondary safety driving decision platform that will leverage the advanced performance, reliability, and resiliency of the InnovizTwo LiDAR to manage real-time driving decisions.

The MRM system is part of a growing software suite from Innoviz that will also include its next-generation perception software. With roughly half of its research and development investment focused on software development, Innoviz has made rapid advances in deploying artificial intelligence (AI) and advanced machine learning to accelerate development and upgrade cycles of its software suite and to expand its core software capabilities.