Self-Driving Cars Safety Innovation at Zoox. Ep. 1: The Zoox Safety Philosophy |
- Safety Innovation at Zoox. Ep. 1: The Zoox Safety Philosophy
- Audi sets up Silicon Valley office to develop automated driving systems for US market
- Ford launching new driver system to compete with Tesla's Autopilot
- [CVPR'20 Workshop on Scalability in Autonomous Driving] Keynote - Andrej Karpathy
- Three prototypes of autonomous buses will be assessed under real-world use conditions on the roads of five European cities.
- I-70 Truck Automation Corridor Gets Federal Grant
- The Future of Self-Driving Vehicles — a Data Gold Mine
- new Incremental Nonlinear Dynamic Inversion controller in OpenPilot 0.8
- Mississippi State University Research Center delivered an all-electric, self-driving sport utility vehicle in their "Halo Project"
- When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
Safety Innovation at Zoox. Ep. 1: The Zoox Safety Philosophy Posted: 18 Jun 2020 10:09 AM PDT
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Audi sets up Silicon Valley office to develop automated driving systems for US market Posted: 18 Jun 2020 01:43 AM PDT
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Ford launching new driver system to compete with Tesla's Autopilot Posted: 18 Jun 2020 05:14 AM PDT
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[CVPR'20 Workshop on Scalability in Autonomous Driving] Keynote - Andrej Karpathy Posted: 18 Jun 2020 01:00 PM PDT
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Posted: 18 Jun 2020 12:16 PM PDT
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I-70 Truck Automation Corridor Gets Federal Grant Posted: 17 Jun 2020 08:54 PM PDT
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The Future of Self-Driving Vehicles — a Data Gold Mine Posted: 18 Jun 2020 07:14 AM PDT
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new Incremental Nonlinear Dynamic Inversion controller in OpenPilot 0.8 Posted: 18 Jun 2020 04:27 AM PDT I'm using these controller parameters with the new Incremental Nonlinear Dynamic Inversion (INDI) controller in the development master version of OpenPilot 0.8. It seems to handle large bumps in the road nicely, without oscillation, when driving my 2017 Jeep Grand Cherokee Trailhawk. Anyone else interested in controller design evolution, PID -> INDI? References to papers about good GNC controller design? #----------------------------------------------------------------------------- # INDI #----------------------------------------------------------------------------- # timeconstant is smoothing. Higher values == more smoothing # actuatoreffectiveness is how much it steers. Lower values == more steering # outer and inner are gains. Higher values = more steering # ret.lateralTuning.init('indi') ret.lateralTuning.indi.innerLoopGain = 3.6 ret.lateralTuning.indi.outerLoopGain = 2.6 ret.lateralTuning.indi.timeConstant = 1.0 ret.lateralTuning.indi.actuatorEffectiveness = 1.5 [link] [comments] | ||
Posted: 18 Jun 2020 02:12 AM PDT MSU Halo has one of the only off-road autonomous vehicle proving grounds in the world, where they've been testing Ouster lidar. The team had three Ouster lidar units on their vehicle - one to scan the horizon for objects and potential obstacles, and two to map the terrain directly in front of the vehicle. The horizon scanning lidar on top of the vehicle fed data into a neural network used to classify objects and generate a 3D occupancy grid. The other two lidar sensors were mounted on the front of the vehicle, tilted on two axes, to ensure that the beam paths are fairly normal to the ground and that all of the beams intersect the ground in front of the vehicle. Using the data from these three lidar sensors, the team could precisely model the terrain in front of the vehicle to complete traversability estimation. [link] [comments] | ||
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous Posted: 18 Jun 2020 01:25 AM PDT |
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