automotive automation and vehicular communication

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    Automotive Automation and

    Vehicular Communication

    Rahul Kumar (13MECE10)

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    Introduction

    High Cost of Mobility

    Running Out of Space

    A Self-Driving Car?

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    Driving Demographics

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    Safety and the Human Toll

    Six million vehicle crashes leading to 32,788

    traffic deaths in 2010 in US

    Traffic crashes cost Americans $299.5 billion

    annually

    Goal not merely to make self-driving vehicles

    as safeas human drivers

    But goal is to develop crash-lesscars

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    Technologies

    Sensor-Based Solutions

    Connectivity-Based Solutions

    Convergence

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    Sensor-Based Solutions

    Use a combination of advanced sensors,

    stereo cameras

    long- and short-range RADAR,

    actuators, control units, and integrating software, to enable cars to monitor and

    respond to their surroundings.

    Some ADAS solutions,

    lane-keeping and warning systems,adaptive cruise control,

    back-up alerts, and parking assistance

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    Connectivity-Based Solutions

    Use of wireless technologies to communicate in real timefrom vehicle V2X and vice versa.

    According to the USDOT, as many as 80 percent of all couldbe mitigated using connected-vehicle technology.

    Dedicated Short-Range Communication (DSRC) Uses radio waves V2V communication. It operates at 5.9 GHz

    frequency, using standards such as SAE J2735 and the IEEE 1609suite

    Provides:

    Network acquisition Low latency, High reliability

    Priority for safety applications

    Security and privacy

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    Convergence

    Convergence of communication- and sensor-

    based technologies could deliver better safety,

    mobility, and self driving capability than either

    approach could deliver on its own.

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    Self-driving applications

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    Self Driving Operation

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    Self-driving cars

    What is it?

    How to design/program one?

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    Programming a self-driving car

    Localization(Monte Carlo Localization)

    Tracking(Kalman filter)

    Particle Filter(State of the System) Motion Planning

    Control(PID)

    Combining them ALL.

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    Vehicular Communication

    Cooperative Approach to communicate between V2X andvice-versa.

    Full 360around vehicle situation awareness ,far morereliable than local sensors

    Provides a bigger coverage area in all directions, warningsabout different hidden hazards such as accidents orobstacles behind a curve Cooperative Adaptive Cruise Control

    Cooperative Merging

    Cooperative Platooning Cooperative Collision Avoidance

    One big drawback of the sensors is that they are influencedby weather conditions and by mud or dirt

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    Communication Regimes

    Bidirectional

    Single-hop

    Multi-hop

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    Architecture Layers

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    Application of Vehicular

    Communication

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    Safety

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    Safety

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    Classification of Safety Applications

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    Resource Efficiency

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    Infotainment

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    Information in the Vehicular Network

    Accuracy of Information

    Time Critical Information

    Time and Distance for Braking Time and Distance for Overtaking

    Data Requirements

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    References

    1. Radu Popescu-Zeletin, Ilja Radusch, Mihai

    Adrian Rigani. Vehicular-2-X Communication

    State-of-the-Art and Research in Mobile

    Vehicular Ad hoc Networks

    2. Self-driving cars: The next revolution,

    kpmg.com and cargroup.org