autonomous vehicle

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Published By: Here Technologies     Published Date: Oct 16, 2018
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. HERE’s HD Live Map consists of multiple layers of data delivered in a map-tile format to improve the performance and safety of ADAS features and autonomous vehicles. VSI tested the lane keeping system with and without map data on a local road in three scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all three scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve
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Here Technologies
Published By: Milliman     Published Date: Sep 07, 2016
Read this whitepaper to learn why manufacturers of autonomous vehicles should be making a Supplier Product Liability Autonomous Share (SPLASh) pool to manage risk.
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autonomous vehicles, splash, risk management, auto market, original equipment manufacturers, insurance risk
    
Milliman
Published By: Swift Navigation     Published Date: Feb 01, 2017
Download the Free White Paper: Piksi Multi for Autonomous Vehicles to learn how Swift Navigation’s centimeter-level accurate GNSS solution improves the performance of autonomous vehicles. Piksi Multi is a centimeter-accurate RTK GPS receiver designed for easy integration in the automotive core sensor suite. Its multiple bands and satellite constellations improve robustness of autonomous vehicle functionality with 99th percentile accuracy and convergence times in seconds.
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rtk, gps, gnss, autonomous vehicle, centimeter-accuracy, multi-band, multi-constellation, l1/ l2, automotive sensors, level 3+ autonomy, improve safety, automakers, navigation oems, electronics
    
Swift Navigation
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