science

Velodyne Lidar

Velodyne Lidar is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Velodyne Lidar rather than just read about it. In short: Velodyne Lidar is a Silicon Valley–based lidar technology company headquartered in San Jose, California. It was spun off from Velodyne Acoustics in 2016.

Key takeaways

Velodyne Lidar belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Velodyne Lidar to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Velodyne Lidar from memory before moving on to harder problems.

Reference excerpt

Velodyne Lidar is a Silicon Valley–based lidar technology company headquartered in San Jose, California. It was spun off from Velodyne Acoustics in 2016. As of July 2020, the company had about 300 customers. Velodyne Lidar provides sensors for use in autonomous vehicles, advanced driver-assistance systems, mapping, robotics, infrastructure, and smart city applications. In February 2023, the company merged with Ouster.

History David Hall founded Velodyne in 1983 as an audio company specializing in subwoofer technology. Velodyne's experience with laser-based distance measurement began in 2005, when David Hall and his brother Bruce (then president of Velodyne) entered a vehicle in the DARPA Grand Challenge, a driverless car race sponsored by the Defense Advanced Research Projects Agency (DARPA). The experience highlighted shortcomings in camera-centric approaches and in existing lidar technology, which only scanned a single fixed line of sight. Velodyne developed new multi-laser sensors for the 2007 race. The Hall brothers sold their lidar system as a steering input to five of the six teams that finished the 2007 challenge. The system rotated 64 lasers and measured the time of flight of each beam to calculate distances to surrounding objects, creating a 360-degree 3D map of the environment. The new system produced about one million data points per second, compared to 5,000 data points per second for earlier systems.

In 2011, Velodyne donated one of its early prototype sensors to the Robotics Collection at the Smithsonian Institution’s National Museum of American History. In 2016, Velodyne’s lidar division was spun off from Velodyne Acoustics as Velodyne Lidar, Inc. On August 16, 2016, Velodyne announced a $150 million investment from Ford and Baidu. In 2017, Velodyne opened a "megafactory" in San Jose, California, to increase production capacity. The company also established an R&D center in Alameda, California. That same year, Velodyne sponsored the SAE/GM AutoDrive Challenge, a three-year autonomous vehicle competition for university teams, by providing its sensors. Since 2018, Velodyne has partnered with Mothers Against Drunk Driving (MADD) in a campaign promoting autonomous vehicles for improved roadway safety and the prevention of impaired driving. Since October 2018, Velodyne has organized an annual "World Safety Summit on Autonomous Technology". Also in 2018, the company signed agreements to collaborate with Nikon and Veoneer on manufacturing and mass production of lidar systems. In July 2019, Velodyne acquired mapping and localization software assets from Mapper.ai to bolster its software capabilities. In January 2020, David Hall stepped down as CEO and was succeeded by Anand Gopalan, the former CTO, although Hall initially remained as chairman of the board and the company's largest shareholder. On July 2, 2020, Velodyne Lidar merged with Graf Industrial Corp., a special-purpose acquisition company, to become a publicly traded company. In September 2020, Velodyne began trading on the NASDAQ under the ticker symbols VLDR and VLDRW. In January 2021, the company removed Hall as chairman of the board and terminated the employment of his wife, Marta Thoma Hall, amid a dispute in which both the Halls and the company accused each other of misconduct. However, Hall retained a large ownership stake in the company, and Marta Thoma Hall remained on the board of directors. In November 2021, Gopalan was replaced as CEO by Theodore "Ted" Tewksbury, a former chief executive of Eta Compute, a low-power AI vision systems company. On February 7, 2022, Velodyne’s stock price surged more than 50% after Amazon agreed to acquire 40 million shares of the company’s stock as an investment. In November 2022, Ouster and Velodyne announced an agreement to merge in an all-stock transaction, splitting ownership of the combined entity evenly between the two companies’ shareholders. The merger was completed in February 2023, with the combined company taking the Ouster name and continuing to trade on the New York Stock Exchange under the ticker "OUST".

Technology

Applications for Velodyne Lidar’s technology include autonomous vehicles, advanced driver-assistance systems (ADAS), mapping, security, and unmanned aerial vehicles. Velodyne’s sensors have a range of up to 300 meters and can be used for object detection without requiring additional sensor fusion. When mounted on a moving vehicle, a Velodyne sensor can create a detailed real-time image of the road ahead, including features such as street signs and foliage. In April 2017, Velodyne introduced the Velarray, a compact solid-state lidar unit that produces a directional image rather than the 360° surround view of the company’s earlier sensors. Velodyne stated that the Velarray’s range, resolution, and field of view would improve object detection and allow longer braking distances compared to the company’s previous 360° lidar products. The initial Velarray model offered a 120° horizontal and 35° vertical field of view, with a range of 200 metres (660 ft). The Velarray was designed for seamless vehicle integration and could be concealed in rooflines, inside bumpers, or behind windshields. Also in 2017, the company unveiled the “Alpha Puck” (previously known as the VLS-128) lidar sensor, which has a range of up to 300 meters. This sensor is designed for autonomous driving and advanced vehicle safety at highway speeds. In 2019, Velodyne introduced the VelaDome, a compact embeddable lidar with a 180°×180° field of view for near-object detection. The company also introduced a software product called Vella, which integrates Velodyne’s sensors into ADAS features such as lane keeping assist, automatic emergency braking, and adaptive cruise control. In November 2019, Velodyne announced the Alpha Prime sensor, a lidar unit intended to improve vehicle safety and provide high-resolution mapping capabilities. In 2020, Velodyne unveiled the Velabit, described as the company’s smallest lidar sensor. It also introduced the Velarray H800, a solid-state sensor based on a micro-lidar array architecture, and the Velarray M1600, a solid-state sensor for autonomous mobile robots and last-mile delivery systems.

Partners and customers

… excerpt ends here. Continue reading the full article.

Illustrations

Worked examples

Example 1 — a first encounter with Velodyne Lidar

Start with the simplest possible case. Write down what Velodyne Lidar claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Velodyne Lidar before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Velodyne Lidar ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Velodyne Lidar

In research: Velodyne Lidar appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Velodyne Lidar in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Velodyne Lidar is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2016 establishments in California, 2023 mergers and acquisitions, American companies established in 2016, so understanding it makes those chapters shorter.
In everyday life: Look for Velodyne Lidar outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Velodyne Lidar” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Velodyne Lidar in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Velodyne Lidar means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Velodyne Lidar out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Velodyne Lidar in simple terms?

Velodyne Lidar is a Silicon Valley–based lidar technology company headquartered in San Jose, California. It was spun off from Velodyne Acoustics in 2016.

Why does Velodyne Lidar matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Velodyne Lidar?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Velodyne Lidar.