SAN JOSE, Calif. (April 7, 2021) – Simulations have an important role in developing and testing advanced driver assistance systems (ADAS) and autonomous vehicle (AV) capabilities. Andrei Claudiu Cosma, PhD, Autonomous Solutions Manager at Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW), will discuss how developers can use lidar simulation to replicate real-world driving scenarios to validate the safety and reliability of ADAS and AV solutions during NVIDIA’s annual GPU Technology Conference, GTC 2021.
The session, called “Lidar-Centric Machine Learning – A Simulator Driven Approach to Model Training, Testing and Validation,” takes place on April 12, 2021 at 10:00 a.m. PDT. Register for free to attend the session at https://gtc21.event.nvidia.com/.
Lidar simulations support faster system development and deployment by providing a virtual environment to test automated driving capabilities in a variety of roadway, weather and lighting conditions. They allow testing of extreme scenarios including corner and edge cases, and potential hazards like emergency braking and obstacle avoidance.
Velodyne’s lidar sensors provide real-time perception data that enables safe navigation and reliable operation for autonomous driving and advanced vehicle safety in urban and highway environments. Velodyne has a diverse product portfolio with sensors that provide surround view, directional, long- and close-range capabilities.
The Automated with Velodyne program includes a number of companies that offer simulation solutions optimized for testing Velodyne’s lidar sensors in ADAS and AV applications. The combination of Velodyne’s high-performance sensors and simulation software enables developers to test and validate solutions in a massively scalable variety of conditions before they reach the road.
“Limited access to training and testing data slows down research and innovation. However, with advances in hardware accelerators, such as GPUs, and development of simulation technologies, new techniques are being developed to generate or augment training data sets. Our GTC session will discuss how a simulator-driven approach can offset limited real data availability to improve development speed and model quality. It will show how this method can reduce costs and enable an improved testing and validation process for a safe deployment,” said Cosma.
GTC, taking place online April 12 – 16, is a global conference series focused on AI, data center, graphics, accelerated computing, automotive, intelligent networking and more.
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, 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 changes in laws, regulations or judicial interpretations to which Velodyne or its customers are subject; 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; uncertainties related to Velodyne’s estimates of the size of the markets for its products; uncertainties regarding government regulation and adoption of lidar for pedestrian safety, traffic congestion and smart city applications; 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; Velodyne’s ability to identify and integrate acquisitions; 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. 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.