drive.ai Rainy Night Autonomous Drive

Drive.ai | Mountain View | link We are creating AI software (Deep Learning) for Autonomous Vehicles. Open positions: Simulation Engineer Mapping and Localization Engineer Software Engineer-Deep Learning Senior Product Manager-Mobile Apps Chief Strategy Officer Apply or see a full description here: link Check out our vehicle driving at night in the rain: ▶ this video

Drive.ai | Multiple positions | Mountain View, CA | ONSITE, FULL-TIME Drive.ai’s mission is to revolutionize transportation to bring safety, convenience and mobility to our roads and communities by utilizing self-driving technology. We are one of the few companies that have actual autonomous vehicles on city streets today: ▶ this video . We’re looking for strong C++ generalists as well as various specialist roles (Controls, Motion Planning, Robotics, Systems and more). We also have a few full-stack roles requiring good systems design skills. Technologies: Linux, C++14, Docker, GPGPU, Python, ROS List of open positions: link

Neat, but I've yet to see a demo of a self-driving vehicle in rain so hard drivers slow down from 65 mph to 45 mph, the wipers at their fastest setting are struggling to keep up, and when you drive through a puddle, the splash from the water obscures the windshield for a couple seconds. Conditions with such low visibility from the rain coming down so hard that you wish you had a clear view screen (also called spin window) [1], usually found on ships and machine tools that use lots of liquid. Humans regularly drive through this kind of rain, though not well. If a self-driving platform relies exclusively upon LIDAR, my understanding is seeing through this much rain requires a lot more processing. The rain demos I've seen [2] [3] [4] are all in wet weather, but not this kind of heavy rain, where a promise of self-driving technology saving lives and property can be more assuredly realized. If anyone in the field knows of one of the contenders already working on training in such poor conditions, then please post a link to a demo if one is available. [1] link [2] link [3] link [4] ▶ this video

Drive.ai | Mountain View | link We are creating AI software (Deep Learning) for Autonomous Vehicles. Open positions: Senior Software Engineer Motion Planning Engineer Simulation Engineer *Positions can be Lead or Manager level Apply or see a full description here: link Check out our vehicle driving at night in the rain: ▶ this video

Drive.ai | Mountain View | link We are creating AI software (Deep Learning) for Autonomous Vehicles. Open positions: Director of Robotics Mechanical Design Engineer Software Engineer-Mapping Motion Planning Software Engineer Senior Software Engineer Full Stack Engineer Apply or see a full description here: link Check out our vehicle driving at night in the rain: ▶ this video

Waymo has been testing up around Lake Tahoe in the snow, and in Arizona to deal with dust, and in Washington to deal with rain. Ford and GM are both testing in Michigan. Here's Drive.ai demoing L4 in a downpour at night (really impressive): ▶ this video But in general terms it's logical to get everything working well in optimal conditions before moving on to challenging weather. I don't think they consider any of this stuff to be unsolvable, short of maybe a whiteout blizzard, but, you know, first things first.

Drive.ai | Mountain View | link We are creating AI software (Deep Learning) for Autonomous Vehicles. Open positions: Senior Software Engineer Software Engineer Deep Learning Engineer Data Visualization Engineer Full Stack Engineer Apply or see a full description here: link Check out our vehicle driving at night in the rain: ▶ this video

Drive.ai | Mountain View | link We are creating AI software (Deep Learning) for Autonomous Vehicles. Open positions: Senior Software Engineer Deep Learning Engineer Autonomous Vehicle Software Engineer Full Stack Engineer DevOps Engineer Software Engineer-New Grad Apply or see a full description here: link Check out our vehicle driving at night in the rain: ▶ this video