Impact of Artificial Intelligence on Autonomous Driving Development

6 OEMs to Have Ai-incorporated Autonomous Driving Software by 2022 but to be Focused on Object and Road Furniture Detection Rather than on Core Decision Engine Software

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With the autonomous vehicle industry racing from zero to warp speed, every aspect of the driving world is set for innovation and transformation, and Artificial Intelligence (AI) development in autonomous driving is to bring that transformation, as it is capable of achieving more than what can be imagined. For situations that require hours of programming for dealing with one particular scenario while driving can now be dealt by a deep neural network, wherein the data scientist just needs to expose the DNN to thousands of images from which it can learn. For true enablement of Level 4 and Level 5 automated driving, the system should be functional in all weather and driving conditions. Deep learning is expected to

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Executive SummaryKey FindingsTop Trends Driving the Development of AI for ADLevels of Automation Defined With Regard to AIExpanding Universe of AI in AD—Vital PillarsValue Chain Development of AI in Universe of ADNoteworthy Companies With AI Capabilities—By RegionMajor Tech Companies’ Approach—OverviewAdjoining Revenue Opportunities for Artificial Intelligence in ADMajor Challenges in Implementation of AI in ADKey TrendsResearch Scope and SegmentationResearch ScopeKey Questions This Study will AnswerAutomated Driving Artificial Intelligence versus Traditional ApproachTraditional Approach Versus Deep Learning ApproachAI—Key DifferentiatorsDependence of AI Development on SoftwareProgression of AI in Autonomous VehiclesDisruption in the Automotive Industry with Developing AIRole of Data Flow in AI in AD CarsDeep Learning in AIDNN to Drive Self-learning AIDeep Neural Network—Training CycleChallenges for Deep Learning Adoption for ADMachine Learning Approach—Case Study: OxboticaDeep Learning Approach—Case Study 1: Drive.aiCNN—Case Study: AIMotiveInnovation Through PartnershipsNVIDIA—A Complete End-to-end AI Solution: HardwareNVIDIA—A Complete End-to-end AI solution: DL SoftwareNVIDIA’S Activity—Highlighted PartnershipsCompanies Ahead in the Business—OverviewMajor OEM ActivitiesMajor OEMs and AI—How They Rate Against Each Other?Growth Opportunities and Companies to ActionGrowth Opportunity—Investments and Partnerships from OEMs/TSPsStrategic Imperatives for Success and Growth Conclusions and Future OutlookConclusion and Future OutlookLegal DisclaimerThe Frost & Sullivan StoryThe Frost & Sullivan StoryValue Proposition—Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360º Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy

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Keyword1
autonomous driving
Keyword2
artificial intelligence
Keyword3
autonomous driving

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