Lucid’s LiDAR-Based DreamDrive Pro Is Cheaper Than Tesla FSD In The US, More Expensive In Canada

Lucid’s LiDAR-Based DreamDrive Pro Is Cheaper Than Tesla FSD In The US, More Expensive In Canada

Semi-autonomous driving technology is a hot topic right now. Sadly, much of that attention has been less than positive but Lucid has just released a new update for its system and now we know how it stacks up to Tesla’s FSD in terms of pricing. It’s both higher and lower-priced depending on where you live in North America.

In the United States, DreamDrive Pro will cost $9,000 while in Canada, buyers will pay $12,000. For US customers, that’s $3,000 cheaper than Tesla’s “Full Self Driving” technology. Interestingly enough, in Canada, DreamDrive Pro is $1,400 more. Much in the same way that Tesla’s Autopilot feature is different than its “Full Self Driving” technology, DreamDrive isn’t the same as DreamDrive Pro in the Lucid.

The Pro version adds adaptive cruise control as well as automated emergency braking. Lucid tacks onto those major features with a lot of other tech like lane-departure protection, cross-traffic protection both front and rear, as well as traffic sign recognition, and traffic drive-off alert. In the software update 1.1.5 message sent to customers, Highway Assist is said to still be “planned for 2022”.

Related: There Are Four Lucid Air Dream Editions On eBay Right Now, All Priced Above $200K

While Lucid seems keen to get that technology to customers as quickly as possible, we respect that they’re taking their time to doll it out only when they deem it ready. The system in the Air is considerably different than that in a Tesla and uses some 32 sensors including LiDAR, radar, and ultrasonic sensors to help it ‘see’ and ‘understand’ the world around it.

With those sensors, it can actually alert the driver to dangers through directional audio cues on the inside of the car. That’s just one of the novel ideas that Lucid has for its driver-assistance technology. Tesla approaches the end goal quite differently by using far fewer cameras and no LiDAR whatsoever.

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