Cheaper Sensors Could Speed More Self-Driving Cars To Market By 2022

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The first heavily automated mass-market vehicles for consumers could go on sale as soon as 2022, if one or more vehicle manufacturers adopt a new sub-$500 lidar sensing package being developed by Silicon Valley startup Luminar.The tremendous cost of lidar – prices for individual sensors currently range from about $6,000 to more than $100,000 – is one of the big stumbling blocks to the wide rollout of self-driving vehicles, whether in commercial delivery and robo-taxi fleets such as those being developed by Ford Motor Co and General Motors Co, or in passenger vehicles aimed at consumers.
Luminar has developed a low-cost lidar platform that bundles hardware and software and is being tested by several automakers, according to Austin Russell, Luminar chief executive officer and founder.
The company’s new Iris system will be offered in two versions, one that will enable hands-free “freeway autonomy” and a less expensive version that will enable some automated functions, such as automatic emergency steering and braking. The first is designed to sell for under $1,000 at higher production volumes, while the second, which is intended to plug into manufacturers’ advanced driver assistance systems (ADAS), is expected to sell for under $500, Russell told Reuters.
Manufacturers and suppliers are increasingly skeptical about the speed of adoption of fully automated self-driving systems, because of both their high cost and complexity. In the meantime, they have begun focusing on deploying more ADAS features, which share components, but cost much less and can generate much-needed revenue to help defray the cost of developing full self-driving systems.
Lidar-driven ADAS “can be more easily monetized by the manufacturers (and) more easily implemented today” than fully automated systems, said Steve Lambright, vice president of marketing for lidar startup AEye, which is developing components for both types of systems.
In the meantime, a long-predicted shakeout in the lidar sector has yet to materialize, judging from a recent flurry of investments and acquisitions, even though the industry has yet to embrace a single lidar technology.
Israeli startup Innoviz, backed by suppliers Aptiv Plc and Magna International Inc , just closed a Series C round of funding and has raised a total of $252 million – more than any of its rivals – with new money from SoftBank Ventures Asia and several large Chinese investors.
A new player, North Carolina-based Sense Photonics, this week closed a Series A round and has raised more than $43 million, with backing from corporate investors Samsung Ventures and Shell Ventures.
Questions & Answers
Q.What is the primary obstacle to the widespread adoption of self-driving vehicles?
What is the primary obstacle to the widespread adoption of self-driving vehicles?
The high cost of lidar sensors is a major stumbling block. Individual sensors currently range from about $6,000 to over $100,000, which makes broad implementation difficult for both commercial and consumer vehicles.
Q.How much cheaper will Luminar's new lidar system be compared to current options?
How much cheaper will Luminar's new lidar system be compared to current options?
Luminar's new Iris system will be offered in two versions: one for under $1,000 at high volumes and a less expensive version for under $500. This is significantly lower than current sensor prices ranging from $6,000 to $100,000.
Q.Which vehicle manufacturers are currently testing Luminar's low-cost lidar platform?
Which vehicle manufacturers are currently testing Luminar's low-cost lidar platform?
The article states that Luminar's low-cost lidar platform is being tested by several automakers. However, it does not specify the names of these particular vehicle manufacturers.
Q.How are manufacturers adapting their approach given the challenges of fully automated self-driving systems?
How are manufacturers adapting their approach given the challenges of fully automated self-driving systems?
Manufacturers are becoming more sceptical about fully automated systems due to high cost and complexity. They are now focusing on deploying more Advanced Driver Assistance Systems (ADAS) features, which cost less and generate revenue.
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