• Breaking News

    Monday, December 9, 2019

    Self-Driving Cars The Verge tries a driverless Waymo on public roads

    Self-Driving Cars The Verge tries a driverless Waymo on public roads


    The Verge tries a driverless Waymo on public roads

    Posted: 09 Dec 2019 07:10 AM PST

    Waymo explains what 'Remote Operators' do

    Posted: 09 Dec 2019 07:34 AM PST

    Waymo’s driverless car: ghost-riding in the back seat of a robot taxi

    Posted: 09 Dec 2019 07:39 AM PST

    Air France Hopes to Reduce Delays With Self-Driving Luggage Carts

    Posted: 09 Dec 2019 08:08 AM PST

    Mercedes and Bosch pilot launches in San Jose!

    Posted: 09 Dec 2019 07:50 AM PST

    Behind the Waymo Driver

    Posted: 09 Dec 2019 11:43 AM PST

    Uber Nears Deal for Self-Driving Car Simulation Startup

    Posted: 09 Dec 2019 01:46 PM PST

    Gladwell’s Autonomy: The Future of Our Cars But Not Ourselves?

    Posted: 09 Dec 2019 11:36 AM PST

    Cruise drives more miles in SF than the average human driver does in a lifetime? Look at how Cruise mapping vehicles see the world through LiDAR sensors

    Posted: 09 Dec 2019 07:50 AM PST

    Can PID control be used for a lane-centering system?

    Posted: 09 Dec 2019 08:45 AM PST

    I am attempting to create a lane centering system for a car using a PID controller. So far, I've only tested the controller in simulation, and it seems like I'm able to get basic off-centered lane keeping where the car wobbles between the lane markings, but the goal is to have the car say centered within the lane. It seems reasonable to assume that a PID controller would not be able to produce this behavior, and my next step is try out an MPC controller which uses future curvature predictions to help the car stay centered. But before I begin working on that, I just wanted to know if anyone had any thoughts on the feasibility of using basic PID control for lane centering.

    submitted by /u/ArtisticPhasor
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    The current state of self-driving car software and computer hardware and its evolutionary path.

    Posted: 09 Dec 2019 08:37 AM PST

    Some of the biggest promises of self-driving cars come from fleet communication: traffic light-less intersections with cars threading through one another, cars reporting debris and road conditions so others can reroute, and fleet wide learning.

    What we're beginning to see in this dawn of the self-driving car age is similar to the dawn of computers. There was an explosion in the mid 60s and 70s of personal computers hitting the market. Models such as the IBM-610, Simon, Olivetti Programma 101, MIR, K-202, Datapoint 2200, Kenbak-1, Mircral N, Xerox Alto and Star, among many others.

    A hundred different companies rushed to get their foot in the market of personal computing, each with different architectures, operating systems, and hardware. From those companies, each one either found a market to serve explicitly or fizzled out completely. IBM focused on datacenter applications, Xerox on office equipment, Microsoft on computer software, Intel on computer hardware, and so on. They cornered individual component markets (apple notwithstanding) and developed technologies that excelled in those markets.

    Looking at self-driving cars, what do you think the evolution of this technology will be? From what I can tell, there are 5 discrete components to a self driving car:

    1. The car itself
    2. The sensor suite
    3. The the ASIC
    4. The neural network itself
    5. The experience

    Right now, from what I can see, Tesla has been gunning to be the Apple of self-driving cars. They're vertically integrated with the car, sensor suite setup, ASIC development, training the neural net, and tuning the experience.

    It also appears that many traditional car companies are sourcing out these categories to other firms, or ingesting those firms altogether. GM, for instance, acquired Cruise so they now produce everything but the ASIC.

    My question is, how do you think the market will segregate itself? Will ASIC architectures become standardized? How will neural networks differ from one car to the other? Will we see a few giants emerge for each component, or will vertical integration be the king of self-driving cars?

    submitted by /u/Samura1_I3
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