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Introduction to Highly Automated Vehicles

2020-12-07
Every year, the U.S. on average, experiences more than 34,000 traffic deaths and over 5 million vehicle crashes. While the trend in traffic deaths has been generally downward for the past decade, most of this reduction has been the result of optimizing passive occupant crash protection systems such as seatbelts and airbags. Highly automated vehicle's (HAV's) offer the potential to significantly reduce vehicle crashes by perceiving a dangerous situation before the crash has occurred and supporting the human driver with proactive warnings and in some cases active interventions to avoid or mitigate the crash.
Magazine

Autonomous Vehicle Engineering: September 2020

2020-09-03
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?
Journal Article

Assuring Vehicle Update Integrity Using Asymmetric Public Key Infrastructure (PKI) and Public Key Cryptography (PKC)

2020-08-24
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.
Magazine

SAE Truck & Off-Highway Engineering: August 2020

2020-08-06
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.
Standard

Taxonomy and Definitions for Terms Related to Cooperative Driving Automation for On-Road Motor Vehicles

2020-05-07
CURRENT
J3216_202005
This document describes machine-to-machine (M2M) communication to enable cooperation between two or more participating entities or communication devices possessed or controlled by those entities. The cooperation supports or enables performance of the dynamic driving task (DDT) for a subject vehicle with driving automation feature(s) engaged. Other participants may include other vehicles with driving automation feature(s) engaged, shared road users (e.g., drivers of manually operated vehicles or pedestrians or cyclists carrying personal devices), or road operators (e.g., those who maintain or operate traffic signals or workzones). Cooperative driving automation (CDA) aims to improve the safety and flow of traffic and/or facilitate road operations by supporting the movement of multiple vehicles in proximity to one another. This is accomplished, for example, by sharing information that can be used to influence (directly or indirectly) DDT performance by one or more nearby road users.
Technical Paper

Secure Vehicular Communication Using Blockchain Technology

2020-04-14
2020-01-0722
Also, all the existing methods for vehicular communication rely on a centralized server which itself invite massive cyber-security threats. These threats and challenges can be addressed by using the Blockchain (BC) technology, where each transaction is logged in a decentralized immutable BC ledger.
Research Report

Unsettled Technology Areas in Autonomous Vehicle Test and Validation

2019-06-12
EPR2019001
Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more. Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized.
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