Velodyne Lidar Calls for Action to Improve Pedestrian Safety
15.9.2021 13:48:00 EEST | Business Wire | Press release
Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a white paper, written by Velodyne experts and published by SAE International, that calls for independent performance testing of driver assistance systems to be expanded to include dark, nighttime scenarios, as more than 75 percent of pedestrian fatalities occur in low-to-no light conditions. The change would address a gap in current testing protocols that primarily look at daytime conditions and largely overlook the risks to pedestrians from driver assistance systems which perform poorly in dark, nighttime conditions.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20210915005189/en/
Diagram of the Safety of the Intended Functionality (SOTIF) standard validation process, highlighting steps in the design, implementation and testing phases to ensure the safety function performance aligns with design intent. The SOTIF approach provides a methodology for identifying and maximizing the range of scenarios in which a vehicle can be expected to function safely under normal operation or with reasonably foreseeable misuse. (Graphic: Velodyne Lidar)
The white paper, called “Designing and assessing vehicle safety functions with a use case approach,” is available on the SAE International website. It can also be downloaded from the Velodyne website.
Recently, the National Highway Transportation Safety Administration (NHTSA) reported that motor vehicle traffic fatalities rose 10.5 percent in the first quarter of 2021 from the same time in 2020, with the vast majority of fatalities occurring in dark conditions. NHTSA also reports this staggering increase in deaths – an estimated 8,730 in three months – comes despite a decrease of 14.9 billion vehicle miles traveled during the same time. To address these tragedies, most new vehicles offer advanced driver assistance systems (ADAS), equipped with Pedestrian Automatic Emergency Braking (PAEB) as a standard optional feature.
Addressing PAEB Performance Limitations
PAEB systems are a foundational element for both AV and ADAS applications. They provide automatic braking for vehicles when pedestrians are in the path of the vehicle’s travel and the driver has taken insufficient action to avoid an imminent crash. However, current systems utilizing camera and radar technology frequently fail to protect pedestrians in dark conditions according to independent testing by the National Highway Traffic Safety Administration (NHTSA) and the American Automobile Association (AAA).
To reflect real-life conditions, the white paper proposes expanding future PAEB testing protocols to include tests conducted in dark, nighttime conditions. The new tests would be conducted in less than one lux ambient illuminance, using low-beam headlights and without streetlights. This change would provide the public with useful information on the performance of pedestrian detection systems in low-light conditions that occur on roadways.
To demonstrate how expanded testing would work, the white paper details the results of nighttime PAEB tests conducted by Velodyne. The tests evaluated a highly-rated PAEB system using current camera and radar-based technology and Velodyne’s PAEB system that uses Velodyne’s lidar sensors and Vella™ software. In these nighttime conditions, the camera and radar-based PAEB system failed in all five scenarios while the lidar-based system avoided a crash in every situation tested.
“PAEB systems can potentially have safety hazards related to nighttime driving and speed without system failure,” said Mircea Gradu, SVP of Automotive Programs, Velodyne Lidar. “Their performance can fall short under these real-world conditions due to limitations of sensors or software. Accurate situational awareness by ADAS and AVs is essential to safety.”
In March of 2021, the Governors Highway Safety Association reported a staggering 21 percent increase in the pedestrian fatality rate from 2019 to 2020. Additionally, on average, 100 lives are lost each day in motor vehicle crashes. While advanced driver assistance systems that perform in low- or no-light conditions have been available for years, they have yet to be wide adopted by automakers, even though they’ve proven to prevent crashes. Nearly four years ago, vehicles with mere front crash prevention technology had 64 percent fewer crashes with injuries than vehicles without it.
“With dark, nighttime conditions so dangerous for pedestrians, it is imperative vehicle assessment organizations expand PAEB testing in ambient light conditions of less than one lux,” said David Heeren, Director, Technology Research, Velodyne Lidar. “Tests performed by NHTSA and AAA demonstrate nighttime performance represents a major opportunity for improvement in current PAEB systems. Velodyne testing shows the efficacy of our lidar-based solution, which can strengthen a vehicle’s functional safety capabilities and address scenarios that cause thousands of pedestrian fatalities annually.”
About Velodyne Lidar
Velodyne Lidar (Nasdaq: VLDR, VLDRW) ushered in a new era of autonomous technology with the invention of real-time surround view lidar sensors. Velodyne, the global leader in lidar, is known for its broad portfolio of breakthrough lidar technologies. Velodyne’s revolutionary sensor and software solutions provide flexibility, quality and performance to meet the needs of a wide range of industries, including autonomous vehicles, advanced driver assistance systems (ADAS), robotics, unmanned aerial vehicles (UAV), smart cities and security. Through continuous innovation, Velodyne strives to transform lives and communities by advancing safer mobility for all. For more information, visit www.velodynelidar.com.
Forward Looking Statements
This press release contains “forward looking statements” within the meaning of the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995 including, without limitation, all statements other than historical fact and include, without limitation, statements regarding Velodyne’s target markets, new products, development efforts, and competition. When used in this press release, the words “estimates,” “projected,” “expects,” “anticipates,” “forecasts,” “plans,” “intends,” “believes,” “seeks,” “may,” “will,” “can,” “should,” “future,” “propose” and variations of these words or similar expressions (or the negative versions of such words or expressions) are intended to identify forward-looking statements. These forward-looking statements are not guarantees of future performance, conditions or results and involve a number of known and unknown risks, uncertainties, assumptions and other important factors, many of which are outside Velodyne’s control, that could cause actual results or outcomes to differ materially from those discussed in the forward-looking statements. Important factors, among others, that may affect actual results or outcomes include uncertainties regarding government regulation and adoption of lidar, the uncertain impact of the COVID-19 pandemic on Velodyne’s and its customers’ businesses; Velodyne’s ability to manage growth; Velodyne’s ability to execute its business plan; uncertainties related to the ability of Velodyne’s customers to commercialize their products and the ultimate market acceptance of these products; the rate and degree of market acceptance of Velodyne’s products; the success of other competing lidar and sensor-related products and services that exist or may become available; uncertainties related to Velodyne’s current litigation and potential litigation involving Velodyne or the validity or enforceability of Velodyne’s intellectual property; and general economic and market conditions impacting demand for Velodyne’s products and services. For more information about risks and uncertainties associated with Velodyne’s business, please refer to the “Management’s Discussion and Analysis of Financial Condition and Results of Operations” and “Risk Factors” sections of Velodyne’s SEC filings, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. All forward-looking statements in this press release are based on information available to Velodyne as of the date hereof, Velodyne undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law.
To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.
View source version on businesswire.com: https://www.businesswire.com/news/home/20210915005189/en/
Contact information
Velodyne Investor Relations
InvestorRelations@velodyne.com
Velodyne Media
Codeword
Liv Allen
velodyne@codewordagency.com
About Business Wire
For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
IQM and Zurich Instruments Launch Real-Time Quantum Error Correction Demonstrator with NVIDIA NVQLink16.3.2026 23:24:00 EET | Press release
Today, IQM Quantum Computers and Zurich Instruments announce a joint project to build and operate a real-time quantum error correction (QEC) demonstrator, enabled by the NVIDIA NVQLink platform. This project marks a significant milestone toward scalable and fault-tolerant quantum computing designed for enterprise and datacenter deployment. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260316511715/en/ IQM and Zurich Instruments launch real-time quantum error correction demonstrator with NVIDIA NVQLink As enterprises and public institutions worldwide move from quantum exploration to long-term deployment, the challenge has evolved beyond simply accessing quantum hardware. The focus is now on reliably operating quantum computers, seamlessly integrating them into existing compute infrastructure, and scaling them toward fault tolerance. The announced project directly addresses these needs by focusing on full-system integration f
NetApp Accelerates Momentum in AI Leadership with NVIDIA16.3.2026 22:30:00 EET | Press release
NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced enhancements to its enterprise-grade data platform, enabling customers to remove roadblocks to AI innovation. In addition to supporting the latest innovations from NVIDIA announced at GTC, NetApp is launching NetApp AI Data Engine (AIDE)—a secure, unified AI data platform stack co-engineered with NVIDIA and integrated with the NVIDIA AI Data Platform reference design. A foundational challenge for AI is enabling enterprises to discover, understand, and govern the data they have across their global data estates. If data is AI’s fuel, finding and using the best data is essential to making truly transformative AI. NetApp AIDE helps enterprises solve this need through an automatically created—and continuously updated—global metadata catalog with powerful search capabilities. Critically, the NetApp AIDE metadata catalog goes beyond standard file system metadata and actively analyzes file content to semantica
Lenovo Brings Production-Scale AI to Global Sports: Enhancing Fan Experience, Driving Revenue Growth, Boosting Performance, and Improving Operational Efficiency with NVIDIA16.3.2026 22:30:00 EET | Press release
At NVIDIA GTC today, Lenovo (HKSE: 992) (ADR: LNVGY) announced an expanded multiyear collaboration with NVIDIA to help the global sports industry deploy production-scale AI across mission-critical environments, transforming live data into revenue growth, operational resilience, and real-time decision advantage. The global sports technology market is projected to grow from $23 billion in 2025 to more than $60 billion by 2030. Global sports events represent some of the most complex and demanding operating environments in any industry, combining unprecedented scale, technical sophistication, and public visibility. These events engage billions of viewers worldwide, generate and process petabytes of data in real time, and require highly coordinated, distributed operations across multiple countries, all within a context where reliability, resilience, and uninterrupted performance are non-negotiable. Scaling AI across this ecosystem requires validated infrastructure, domain-trained intelligen
Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge16.3.2026 22:30:00 EET | Press release
Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to build Halos-certified Holoscan Sensor Bridge-based designs for physical AI and to help shape best practices as the industry evolves. “Physical AI is rapidly moving from controlled environments into the real world, where safety, reliability, and trust are paramount,” said Raemin Wang, Vice President, Segment Marketing, Lattice Semiconductor. “Through this collaboration, Lattice looks forward to contributing our expertise in low power FPGAs and award-winning solution stacks to enable scalable, trusted physical AI systems across robotics, industrial automation, and autonomous applications.” NVIDIA Halos is a comprehensive full
Kinaxis Advances Large-Scale Supply Chain Optimization with NVIDIA AI16.3.2026 22:30:00 EET | Press release
Kinaxis® Inc. (TSX: KXS), a global leader in supply chain orchestration, today announced a new milestone in advancing large-scale supply chain optimization within the Kinaxis Maestro™ platform. Maestro already delivers high-performance optimization across complex global supply chains, and Kinaxis is now extending that leadership by leveraging GPU acceleration powered by NVIDIA cuOpt™ and NVIDIA AI infrastructure. As supply chains grow in scale and complexity, planning models must reconcile tens of millions of variables across extended time horizons and multiple planning levels. As model size expands, the number of potential decisions can scale into billions, dramatically increasing computational needs. Organizations are no longer constrained by insight alone. They are constrained by how quickly they can iterate. In testing on a large-scale semiconductor planning model with nearly 50 million decision variables, Kinaxis achieved up to a 12X reduction in total end-to-end calculation time.
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom
