Advanced Driver Assistance Systems in Heavy Duty Trucking

Next Generation of Truck Safety Advancement to be Enhanced by Faster Data Processing, System Integration, and Truck Digitization

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Driver and technician shortage has emerged as the most important top-of-mind issue for fleet managers. This, coupled with concerns on economic outlook and operating margins, is predicating several choices that fleet managers are making with regards to advanced truck technologies. Potential benefits of safety, technology and lower operating costs will spur growth of autonomous trucking given issues to be resolved over liability, regulations and labor. Fleets involved in crashes are facing high-dollar jury verdicts currently with worsening severity of jury awards; in addition to this, safety profile of a fleet is focused more in a crash case than specifics of the accident. Access to data from safety systems will protect fleets from false claims and also aid in reducing insurance premiums owing to lower risk of accidents. Therefore, increased opportunities exist for prospective industry participants in integrating safety and fuel efficiency benefits across various technology platforms. Performing real-time computing for advanced safety technologies’ sensor data input will require sophisticated and reliable hardware platform with sufficient high performance computing abilities; cloud platform is expected to aid in functionalities such as distributed computing and distributed storage for deep learning model training and HD map production.

The technical challenges of autonomous systems, in addition to the need for all digital components to communicate with each other continuously are expected to create gaps in the market for Tier 1 suppliers and semiconductor companies. Moreover, unfiltered, unbiased raw data will be preferred over traditional distributed processing in the future owing to the enhanced ability of the model to generate a complete view of the truck’s environment through centralized processing. In the domain of in-vehicle networks, the demand for connectivity will force OEMs to look into new network technology such as Ethernet that can handle quick, large-volume, high-speed data transmissions to enable effective coordinated control across multiple functional domains in autonomous trucks. The inclusion of crash mitigating technologies and onboard cameras as standard features in trucks is expected to significantly reduce risk of collision, thereby reducing premiums. While insurance premium parameters are largely calculated based on fleet- or driver-related data, vehicle-related data such as autonomous driving algorithms, cybersecurity, and logic robustness are expected to feature in the calculations; liability for crashes is expected to shift to truck manufacturers.

The aim of this research service is to provide a strategic overview of the heavy-duty truck safety technologies enabling autonomous driving, including analysis of key market trends, and technology trends, and integration of electronic architecture for autonomous driving.

Table of Contents

Executive SummaryFunctional Path Towards Autonomous DrivingCentralized ProcessingNeed for 48V—Impact of Automated Driving on E/E ArchitectureInsurance and Use of DataChanging LiabilityResearch Scope, Objectives, Background, and MethodologyResearch ScopeResearch Aims and ObjectivesKey Questions this Study Will AnswerResearch BackgroundResearch MethodologyHardware Sensor SuiteSafety Technology Evolution and ImplicationsErrors in Sensing SystemsOptical Sensor Technology TrendsRadar Technology TrendsConfigurations with LiDARData Fusion on Typical Sensor Suite for ADAS ApplicationAdaptive Cruise Control (ACC) RoadmapLane Departure Warning (LDW) RoadmapBlind Spot Detection (BSD) RoadmapIntegration of Software and ECUProcessing PowerProcessing Power (continued)Distributed ProcessingCentralized ProcessingSafety Domain ECUIn-vehicle Network ScenarioValue Chain AnalysisEvolution of Electric ArchitectureOverview of the Current Electrical and Electronic Ecosystem48V System DesignTop Level Analysis of First and Second Wave TechnologiesNeed for 48V—Impact of Automated Driving on E/E ArchitectureBenefits to Fleet OwnersShortage of Skilled DriversImpact of Collisions—North AmericaImpact of Collisions—EuropeInsurance and Use of DataImpact of Crash Mitigating Technologies on PremiumsChanging LiabilityGrowth Opportunities and Companies to ActionGrowth Opportunity—Value-add Services and PartnershipsStrategic Imperatives for Success and Growth Conclusions and Future OutlookKey ConclusionsThe Last Word—3 Big PredictionsLegal DisclaimerAppendixAcronyms UsedThe Frost & Sullivan StoryThe Frost & Sullivan StoryValue Proposition—Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360º Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy

advanced driver assistance systems
driver assistance systems
advanced driver assistance systems

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