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AUTOSAR(AUTomotive Open System ARchitecture) establishes an industry standard for OEMs and the supply chain to manage growing complexity to the automotive electronics domain. Increased focus on software based features will prove to be a key differentiator between vehicle platforms. AUTOSAR serves to standardize automotive serial data communication protocols, interaction with respect to hardware peripherals within an ECU and allow ECU implementer to focus on development of unique customer focused features that distinguish product offerings. Adoption strategy and impact assessment associated with leveraging AUTOSAR for an E/E Architecture and the potential challenges that need to be considered will be described in this publication. This publication will also illustrate development strategies that need to be considered w.r.t deploying AUTOSAR like data exchange, consistency to BSW software implementation, MCAL drivers etc.

Time-critical applications in automotive are distributed across multiple Electronic control units (ECUs) that are connected through different in-vehicle networks. The ECUs on network protocols (CAN, Ethernet, FlexRay) operating at different source clocks needs to be synchronized to achieve time sensitive functionalities. Currently CAN and Ethernet have their own synchronization mechanisms. In a mixed architecture, challenge is to synchronize nodes on different protocols connected via gateway. AUTOSAR describes concept called Time gateway for such applications. This paper describes how time gateway can be configured for synchronizing nodes on CAN and Ethernet Networks. The approach is evaluated using bench simulation configured through Vector/Elektrobit software. The outcome of the method is to measure accuracy of synchronization between two nodes.

Automotive radars and cameras form the backbone of self-driving cars, Active safety and Advanced Driver Assistant Systems (ADASs). Streaming sensor, camera and audio data between sensors and Electronic control units(ECUs) requires huge data exchange. Ethernet with its large bandwidth capability is typically used as physical medium to communicate large data in automotive in-vehicle networks. Large data generally deals with payload size greater than single Ethernet Maximum Transmission Unit(MTU) size i.e.1522 Bytes that shall be sent via the transport protocol of the underlying bus. The purpose of the paper is to compare four different methods for transferring large data for current automotive Ethernet requirements. The methods Udp/Ip Fragmentation, Application fragmentation, Tcp/Ip Fragmentation and IEEE1722 transport protocol are evaluated. Bench evaluation of these methods are performed using Vector/Elektrobit software.

Advance Active Safety Systems play a preventive role in mitigating crashes and accidents by providing warning, additional assistance to the driver and maneuverability of vehicle by itself. Some of the features include forward collision warning system and lane departure warning system activate a warning alert when potentially dangerous situations are detected. These active safety features present in developed markets work with Fusion based algorithm combining Radar, Lidar, Camera, Ultrasonic sensor’s input. Application of these algorithms are Intelligent Cruise Control, Collision avoidance, parking assistance, identify pedestrian etc. The complexity of the algorithm, cost of the control unit and road infrastructure are hindrance to emerging market. The solution presented in this paper is towards camera-based solution, describing the method to determine the predictive path, that is obstacle free space and use the predictive space to navigate or steer.