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With the introduction of Connected Vehicles, it is possible to extend the limited horizon of vehicles on the road by collective perceptions, where vehicles periodically share their information with other vehicles and servers using cloud. Nevertheless, by the time the connected vehicle spread expands, it is critical to understand the validation techniques which can be used to ensure a flawless transfer of data and connectivity. Connected vehicles are mainly characterized by the smartphone application which is provided to the end customers to access the connectivity features in the vehicle. The end result which is delivered to the customer is through the integrated telematics unit in the vehicle which communicates through a communication layer with the cloud platform. The cloud server in turn interacts with the final application layer of the mobile application given to the customer.

Driven by the growing internet and remote connectivity of automobiles, combined with the emerging trend to automated driving, the importance of security for automotive systems is massively increasing. Although cyber security is a common part of daily routines in the traditional IT domain, necessary security mechanisms are not yet widely applied in the vehicles. At first glance, this may not appear to be a problem as there are lots of solutions from other domains, which potentially could be re-used. But substantial differences compared to an automotive environment have to be taken into account, drastically reducing the possibilities for simple reuse. Our contribution is to address automotive electronics engineers who are confronted with security requirements. Therefore, it will firstly provide some basic knowledge about IT security and subsequently present a selection of automotive specific security use cases.

The ever-increasing complexity and connectivity of driver assist functions pose challenges for both Functional Safety and Cyber Security. Several of these challenges arise not only due to the new functionalities themselves but due to numerous interdependencies between safety and security. Safety and security goals can conflict, safety mechanisms might be intentionally triggered by attackers to impact functionality negatively, or mechanisms can compete for limited resources like processing power or memory to name just some conflict potentials. But there is also the potential for synergies, both in the implementation as well as during the development. For example, both disciplines require mechanisms to check data integrity, are concerned with freedom from interference and require architecture based analyses. So far there is no consensus in the industry on how to best deal with these interdependencies in automotive development projects.

With the rapid development of vehicle intelligent and networking technology, the IT security of automotive systems becomes an important area of research. In addition to the basic vehicle control, intelligent advanced driver assistance systems, infotainment systems will all exchange data with in-vehicle network. Unfortunately, current communication network protocols, including Controller Area Network (CAN), FlexRay, MOST, and LIN have no security services, such as authentication or encryption, etc. Therefore, the vehicle are unprotected against malicious attacks. Since CAN bus is actually the most widely used field bus for in-vehicle communications in current automobiles, the security aspects of CAN bus is focused on. Based on the analysis of the current research status of CAN bus network security, this paper summarizes the CAN bus potential security vulnerabilities and the attack means.

With the development of vehicle intelligence and the Internet of Vehicles, how to protect the safety of the vehicle network system has become a focus issue that needs to be solved urgently. The Controller Area Network (CAN) bus is currently a very widely used vehicle-mounted bus, and its security largely determines the degree of vehicle-mounted information security. The CAN bus lacks adequate protection mechanisms and is vulnerable to external attacks such as replay attacks, modifying attacks, and so on. On the basis of the existing work, this paper proposes an authentication method that combines Hash-based Message Authentication Code (HMAC)-SHA256 and Tiny Encryption Algorithm (TEA) algorithms. This method is based on dynamic identity authentication in challenge/response made and combined with the characteristics of the CAN bus itself as it achieves the identity authentication between the gateway and multiple electronic control units (ECUs).

Software vulnerability management is one of the most critical and crucial security techniques, which analyzes the automotive software/firmware across the digital cockpit, ADAS, V2X, etc. domains for vulnerabilities, and provides security patches for the concerned Common Vulnerabilities and Exposures (CVE). The process of automotive SW/FW vulnerability management system between the OEMs and vendors happen through a channel of fixing a certain number of vulnerabilities by 1st tier supplier which needs to be verified in front of OEMs for the fixed number and type of patches in there deliverable SW/FW. The gap of verification between for the fixed patches between the OEMs and 1st tier supplier requires a reliable human independent intelligent technique to have a trustworthiness of verification.

Automotive system functionalities spread over a wide range of sub-domains ranging from non-driving related components to complex autonomous driving related components. The requirements to design and develop these components span across software, hardware, firmware, etc. elements. The successful development of these components to achieve the needs from the stockholders requires accurate understanding and traceability of the requirements of these component systems. The high-level customer requirements transformation into low level granularity requires an efficient requirement engineer. The manual understanding of the customer requirements from the requirement documents are influenced by the context and the knowledge gap of the requirement engineer in understanding and transforming the requirements.

Abstract Over the past forty years, the Electronic Control Unit (ECU) technology has grown in both sophistication and volume in the automotive sector, and modern vehicles may comprise hundreds of ECUs. ECUs typically communicate via a bus-based network architecture to collectively support a broad range of safety-critical capabilities, such as obstacle avoidance, lane management, and adaptive cruise control. However, this technology evolution has also brought about risks: if ECU firmware is compromised, then vehicle safety may be compromised. Recent experiments and demonstrations have shown that ECU firmware is not only poorly protected but also that compromised firmware may pose safety risks to occupants and bystanders.

It is deemed that currently the intelligent connected vehicle (ICV) is in its early stage of development, and it will go through multiple development stages in the future to realize its final goal—autonomous driving. Based on the existing ICV researches, this paper believes that ICV can be used to improve the efficiency and safety of freeway. The current research of ICV has two main directions: one focuses on the traffic flow characteristics of vehicles with different attributes, the other is concerned with using ICV to reduce congestion. From the policies issued by countries around the world and the development plans promoted by major vehicle manufacturers, the future development trends and challenges of ICV are analyzed. ICV must overcome all the shortcomings to achieve its final goal, including insufficient hardware capabilities or excessive cost, and the degree of intelligence that needs to be improved.

Advanced Autonomous Vehicles (AV) for SAE Level 3 and Level 4 functions will lead to a new understanding of the operation phase in the overall product lifecycle. Regulations such as the EU Implementing Act and the German L4 Act (AFGBV) request a continuous field surveillance, the handling of critical E/E faults and software updates during operation. This is required to enhance the Operational Design Domain (ODD) during operation, offering Functions on Demand (FoD), by increasing software features within these autonomous vehicle systems over the entire digital product lifecycle, and to avoid and reduce downtime by a malfunction of the Autonomous Driving (AD) software stack.

AVSC Information Report for Change Risk Management AVSC00010202304 provides a process for change risk management for fleet-operated ADS-DVs using level 4 or 5 automation. The document addresses risks resulting from planned and unplanned changes in an ADS-DV design and/or operation. This information report is based on the concept of risk-informed decision-making. Making risk management decisions such as safety and change management, safety analysis, and safety assurance are especially applicable when moving from concept to production intent for the ADS-DV. Change Risk Management (CRM) does not replace best practices or other methods for managing safety anomalies or change management processes. It may instead be viewed as an additional resource that elaborates on how safety anomaly management and change management can be performed.

Editorial Fool Self-Driving II The Navigator What will result from NHTSA's Tesla Autopilot investigation? Data Drives Driverless Truck Launch Smart diagnostics and advanced validation help support the reliability metrics required to gain confidence that autonomous trucks are ready for the road. Peering into the Distance New sensors of all types look out longer distances - and provide higher resolutions - for engineers pushing ADAS capabilities and higher-level vehicle automation. Ford Drives into SAE Level 2 Driver monitoring was an essential component to engineering the new "hands-free" BlueCruise/Active Glide enhanced ADAS system. A Chore No More? The Detroit Smart Parking Lab opens to develop and test emerging parking technology in real-world settings. Share and Share Alike The concepts of rideshare and urban mobility continue to evolve as new projects test what's possible.

Big future for e-axles, advanced motors Top transmission engineers claim driveline electrification will transform everything from all-wheel drive to Class 8 tractor-trailers. Big data's benefits keep a-comin' Gigabytes of data are being collected and increasingly mined to improve field operations, maintenance and even vehicle design. Transformative times Despite a challenging climate, technology development progresses - as does the sharing of innovative ideas - virtually. Editorial Zeroing in on zero emissions Softing envisions secure, reliable predictive maintenance Reconstructing accidents in the ADAS age Paving the way to improved truck fuel efficiency Nikola looks to accelerate production, hydrogen infrastructure Mecalac designs unique-pivoting swing loader Q&A' Horiba's Joshua Israel discusses complex regulatory landscape's impact on commercial-vehicle development and shift to electrification.

Innovations for lightweighting Tough fuel-economy bogies for 2021 and beyond are driving new approaches to materials use, as seen in these case studies. Axellent progress AAM's new Quantum drive-axle technology is a leap forward in lightweight, efficient driveline systems aimed at 2020 and beyond. Low-temperature combustion ready for prime time? At SAE's High-Efficiency IC Engines Symposium, Delphi said its new, third-generation GDCI is promising, but even LTC proponents admit that challenges remain. More automation for ECU testing The latest fault-insertion tests enable engineers to run more test cases in less time.

Deere advances in-field autonomy While stereo cameras and computer vision guide Deere's "limited- release" 8R autonomous tractor, Bear Flag's lidar tech will augment future machines. Positioning to centimeter-level improves agriculture Precision-navigation approaches that emphasize backward compatibility help farms reap more value from autonomous operations. Funding, mandates fuel commercial-vehicle electrification Legislators provide the impetus to electrify trucks and buses, leading to several engineering challenges.

Looking past ADAS Advances in perception hardware and software deliver new performance possibilities - and a refreshed vision for passenger-vehicle driving automation. Provizio eyes safety with radar, not lidar Provizio promises its 5D Perception stack can safely compete with expensive lidar sensors at a fraction of the cost. Can solid-state batteries commercialize by 2030? Solid-state batteries are facing a reckoning as OEMs attempt to commercialize the technology. Editorial Change?

Editorial Follow the money The Navigator C-V2X is finally gaining momentum in the U.S. Making the Strategic Move Into AV Testing Having built its global engineering reputation in the combustion-engine era, FEV makes a critical leap into automated-vehicle testing. Sony Jumps Into AV Sensors, Software The consumer-electronics giant leverages its innovative technologies for ADAS prototypes and partners with Hungary-based AImotive for automated-driving software. Mitigating Radar-to-Radar Interference An effective radar interference mitigation strategy should have the right balance between complexity and capability for dealing with the interferers. Amending the Automated-driving 'Constitution' SAE International's J3016 standard has been comprehensively revised with new distinctions and definitions. The Committee chairperson, Barbara Wendling, addresses the fine points behind the industry-defining - and perpetually controversial - classification for automated-driving capability.

Editorial SPAC attack The Navigator Mapping the way to safe and natural automated driving Motorcycles Enter the ADAS Age The latest models from BMW, Ducati and KTM feature Bosch's new ACC setup, but further advancements will require navigating critical rider-control strategies. On the Way to SVA Aptiv says its Smart Vehicle Architecture central controller is the key to simpler, more compact and higher-performance ADAS and AV systems. New Insistence for Driver Assistance Panelists at SAE International's 2021 Government/Industry Meeting say assisted-driving technology is worthwhile - but effective driver monitoring is crucial. Flash! Lidar's Next Generation Arrives Technology solutions from new players and alliances are poised to drive down cost. Horiba MIRA's Vision for World-Class AV Testing A new autonomous vehicle development center called Assured CAV boasts a lengthy list of assets and capabilities.

Propulsion Fanjet Evolution - the Next Steps Composites Dry Drilling Composites Using Carbon Dioxide Cooling

Editorial AV lidar enters a new reality The Navigator UNECE takes first step toward AV regulation Special Delivery - by 'Bot Michigan start-up Refraction AI aims to be the go-to for last-mile, semi-autonomous, all-weather delivery robots. Lidar Infiltrates ADAS Once considered a necessity only in fully autonomous vehicles, lidar sensors are now being evaluated for lower-level driver-assistance systems. Training Data-hungry AI Algorithms Large-scale data refinement is key to bringing more sophisticated automated-driving functions to series production. Simulation's Next Generation Do autonomous-vehicle developers have their simulation strategies all wrong? Some experts think so - but suggest there's a practical solution. Marelli's COVID-killing HVAC Insert With big implications for shared mobility, a new photocatalytic cabin-air purifier claims to kill viruses - including COVID-19. Is Ground-penetrating Radar Next for AV Sensing?