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Autonomous Vehicles Landscape Jan2020 Created By: The Autonomous Vehicles landscape Designed by: Powered By: Marc Amblard Last Update January 2020 Orsay Consulting AV Applications Analytics AV Fleet Goods Delivery (13) Shuttle & Robo-Taxis (21) Driving Aid & Monitoring (18) Occupant understanding (15) Management (8) Designated Gatik 2getthere Aurrigo Auro Robotics AEV Robotics AutoX BARO e.GO Moove EasyMile Braiq Cambridge Carvi GreenRoad i4drive IntelliVision KeepTruckin Aectiva eyeSight Fotonation Genesis Bestmile Fleetonomy Boxbot Dispatch Einride Kiwi Campus VEHICLES EdgeTensor Eyeris Driver Mobile Telematics Technologies Lab LM Industries Lohr May Mobility Navya NEXT Future Optimus Ride Open Motors Ottopia Phantom Auto RideOS Marble Nuro RoboCV Robby Robomart ISFM LightMetrics Nauto NetraDyne Roadsense Safe Drive Seegrid Smartdrive Guardian Optical Innov Plus Jungo Life Detection Pertech Phasya Technology Transportation Technology Systems System Technologies Connectivity Technologies Solutions Ride Cell Vulog Starship TeleRetail Udelv Softcar Waymo Zoox Ziiko Coast Autonomous Voyomotive Zendrive DriveTrust Samsara Seeing Machine Smart Eye Vayyar Wrnch Technologies Robotics AV Software Stack Automotive Stack (70) Localization & Mapping (37) Simulation and Validation (35) Dvpt tools (20) AImotive Algolux Aptiv Argo AI Ascent Apex.AI Aurora Autonomous AutoX Deeproute AI Autonomous Applanix Artisense Accerion atlatec Carmera Civil Maps Combain Ception Almotive ANSYS Applied AV Simulation Alpha Drive Algolux Autonomou Apex.AI Robotics Innovation Fusion Intelligent Driving Intuition Stu Brodmann17 Baidu Apollo Bosch Mobility BlackBerry comma.ai Cyngn Cruise DeepScale Elekrobit FiveAI Ghost Deepmap Dynamic Map Explorer.ai Exonav EXO Geoex Hexagon atlatec Automotive Cognata Cityscapes BASELABS Deepen AI Positioning HERE AVL CMORE Solutions QNX Locomotion Platform Technologies Articial Dataset Intelligence Intelligence Automotive Helm.ai Humanising Imagry IVEX Intvo Kelzal Lyft Level 5 Luxoft Mobileye Momenta Mando Humatics Inertial Sense IvI5 Mobileye Mavinfo Momenta NAVENTIK NetraDyne dSPACE Dassault Elektrobit ESI Group Figure Eight dSPACE DataSpeed Edge Case Autonomy Systèmes Research Nomoko Sanborn StradVision SlamCore Swift Point One Precivision PolyExplore Image MooVita NextNomy nuTonomy Nvidia Self Oxbotica Optimus Ride Ottopia Phantom AI Perceptive Pony.ai Project Titan Foretellix HighD Latent Logic IPG Automotive LGSVL Figure Eight Intempora Navigation Technologies Engineering Driving Car Automata Navigation Simulator Roadstar.ai Robotic Renovo Realtime Sensible4 Seoul StreetDrone Swerve.ai StradVision Teraki ThorDrive Trimble TomTom Ushr VayaVision Zenrin Mapillary Metamoto monoDrive Mechanical Nvidia Drive MathWorks National PolySync Research Robotics Robotics Simulation Constellation Instruments Trucking Stack (14) The Hi-Tech TTTech UberATG Udacity Vaya Vision Waymo WaveLenght Wayve Torc Robotics Valeo Voyage Parallel Domain RightHook Remcom rfPro Synthia Playment Scale AI Tensyr obotic Systemz Autonomous Global Azevtec Embark Trucks Flux Auto Ike Jaybridge Kodiak Robotics Kache.AI Locomation Robotics WeRide Yandex Auto ZongMu Zenuity TASS Siemens SVIRES Virtual VectorZero Tier IV TTTech Technology International Automotive Simulations KITTI dataset technologie Pronto AI PlusAI Peloton Starsky TuSimple Waymo Technology Robotics AV Hardware Compute HW (22) Lidars (43) Cameras, Radars and other Sensors (44) V2X (33) On-Board Communication (11) ABAX Sensing Ambarella Baidu Apollo Continental DeepVision Aeva AEye Baraja Benewake Blickfeld Cepton Continental AEye Arbe Robotics ASTYX Augmented Ambarella AdaSky Bosch CompoundEye Aptiv Autotalks Autonomy Bosch Mobility Commsignia Cohda Wireless Aptiv Cisco Technologies Radar Imaging Mobility Solutions Solutions Autonomous Denso AV Hailo Intel Autonomous Kontron Voyant Fotonic Fastree3D Hesai Innovusion Innoviz Ibeo Automotive Luminar Continental DENSO Echodyne Foresight Fotonic Fensens General Radar Hamamatsu Connected Continental V2X Danlaw DENSO V2X Ericsson V2X Huawei V2X Ixia Molex Driving Photonics Technologies Systems Technologies Automotive Photonics Signals Communication OpSys Mobileye Nvidia Drive NXP BlueBox On LeddarTech Lumotive Magna Mirada NODAR Ouster OURS Hyundai Hertzwell HELLA Inneon Light Lunewave Megna Inneon Kapsch LG Innotek Marvell OmniPHY/NXP Technologies IEE Kontron Lear Connexus Lacroix PX Semiconductor International Technologies Technology Mobis International Technologies TracCom V2X Automotive Automotive Pointcloud Renesas Recogni Samsung STMicroelectronics OMRON 3D-LiDAR Pioneer Phantom Princeton Quanergy Robosense Sense Photonics Metawave Mobileye Mando NXP Neteera Oculli Panasonic Perceptin Marvell Murata Microsoft V2X NoTrac NXP V2X Silkan CetraC Teraki Automotive Automotive NORDSYS Autonomy DRVline LiDAR Intelligence Lightwave Technologies Systems Automotive Sony Valerann Valeo Veoneer Visteon SOS Lab TriLumina Tyto LIDAR TetraVue Turboroto Viametris Valeo Velodyne Lidar Prophesee RFISee Samsung Toposens TriEye Uhnder Valeo Qualcomm V2X Samsung V2X Trac Technology TTTech Valens Thinci Automotive Savari Siemens V2x Corporation Automotive Services XLink ZF Xenomatix Veoneer Veoneer WaveSense Zendar ZF Veniam Viziblezone YoGoKo Communications Friedrichshafen Friedrichshafen.
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  • Autonomous Vehicles
    10/27/2017 Looming on the Horizon: Autonomous Vehicles Jim Hedlund Highway Safety North MN Toward Zero Deaths Conference October 26, 2017 St. Paul, MN In the next 25 minutes • AV 101 . What’s an autonomous vehicle (AV)? . What’s on the road now? . What’s coming and when? . What does the public think about AVs? . What are current state laws on AVs? • Traffic safety issues for states . AV testing . AV operations . What should states do . What should national organizations do 2 1 10/27/2017 Report released Feb. 2, 2017 3 Autonomous = self-driving, right? So what’s the challenge? • When all vehicles are autonomous: . The passenger economy: transportation as a service . No crashes (at least none due to driver error – about 94% currently) • And it’s coming soon . 26 states and DC with AV legislation or executive orders (and AVs probably can operate in most states without law changes) 4 2 10/27/2017 NCSL October 2017 www.ghsa.org @GHSAHQ 5 But … • It’s far more complicated than that 6 3 10/27/2017 What’s an AV? • Level 0: no automation, driver in complete control • Level 1: driver assistance . Cruise control or lane position, driver monitors at all times • Level 2: occasional self-driving . Control both speed and lane position in limited situations, like Interstates; driver monitors at all times ************** • Level 3: limited self-driving in some situations, like Interstates . Vehicle in full control, informs when driver must take control • Level 4: full self-driving under certain conditions . Vehicle in full control for entire trip, such as urban ride-sharing • Level 5: full self-driving at all times 7 What’s on the road now? • Level 1 available for many years .
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    The Invesco White Paper Series June 2017 Driverless cars: How innovation paves the road to investment opportunity Authored by About this paper Jim Colquitt Disruptive technologies and trends are radically reshaping the investing landscape across sectors, Analyst, Invesco Fixed Income asset classes and geographies. This paper is the first in a series examining the investment Dave Dowsett implications of these innovations. Global Head of Invesco’s Innovation, Strategy and We are at a point in history where computer science and technology are enabling the creation Disruptive Technology team of products and services that previously existed only in the realm of science fiction. In this Abhishek Gami article, we consider the investment implications of one such game-changing innovation: Senior Equities Analyst, Invesco autonomous driving technology, or driverless cars. The global market for these vehicles is 1 Fundamental Equities expected to reach the trillion US dollar mark by 2025. We also explore the impact of the technology on key global industrial sectors, such as auto manufacturing, transportation Evan Jaysane-Darr services and freight. Partner, Invesco Private Capital Continuing improvements in computer processing power, artificial intelligence (the ability to program Clay Manley computers to “learn” like humans) and the growing network of smart devices communicating directly Portfolio Manager, Invesco Fundamental Equity with one another (often referred to as the “internet of things”) have created a new ecosystem ripe for disruption and new entrants in global industry. Artificial intelligence began as a sub-discipline of Rahim Shad computer science in the 1950s. The scope of what we continue to “teach” computers has become Senior Analyst – High Yield, increasingly complex as input data sets grow larger and data scientists develop deeper “thinking” Invesco Fixed Income algorithms.
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  • Auto and Tech Companies – the Drive for Autonomous Vehicles
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