Proposal to clarify and correct the reference in paragraph 8.3.6. to UN R14 and the new UN Regulation on ISOFIX anchorages with regard to the measurement of the pitch angle used for the geometrical assessment of the installation of ISOFIX child restraint fixtures. This proposal relates to the supplements presented in document WP.29/2017/120.

Proposal to delete a reference to the measurement of the femur bending moments because such measurements are unnecessary under the full width rigid impact test. Specifically, paragraph 5.2.4.1. is changed from “The axial compressive force and the bending moments are measured with a CFC of 600.” to read “The axial compressive force is measured with a CFC of 600.”

Proposal to establish a WP.29 program to develop a UN GTR specifying a methodology for determining the real driving emissions of light-duty vehicles based on the European RDE methodology appropriately adapted for specific regional traffic conditions and boundaries.

Proposal to clarify application of UN R139 to vehicle submitted for approval under the regulation (i.e., equipped with a brake assist system).

Presentation of PTI Informal Group interest in investigation tampering and fraud involving Exhaust Gas Recirculation (EGR), Diesel Particulate Filter (DPF), and Selective Catalytic Reduction (SCR) devices/systems.

China input regarding the discussions on restructuring WP.29 to address the regulation of automated vehicles and the priorities for work under the 1998 Agreement.

Status of the agreement as of 13 June 2018.

Establishment of the Executive Committee (AC.3) of the 1998 Agreement Fifty-third session (agenda item 12) – Consideration and vote by AC.3 (agenda items 14.2, 14.3 and 15)

Status of work on Amendment 2 pursuant to the 18th TyreGTR informal group session in Ottawa, 12-14 June 2018.

In 2015 and 2017, public figures and experts warned about potential risks related to Artificial Intelligence use. AI has found prominent applications in the automotive sector in infotainment, vehicle management, and self-driving capability development. Some AI implications fall within WP.29’s remit, including HMI distraction and automated vehicle performance. AI in automotive applications searches for optimized solutions, looks for patterns, and predicts future events. Machine Learning, a subset of AI, uses data-based computational techniques to improve performance without explicit programming. Deep Learning uses multiple layers of nonlinear processing units for feature extraction. AI applications in the automotive sector include HD Map building, image analysis for object detection, driving policies for automated driving, and human machine interface. AI raises questions regarding model transparency, traceability, validation for safety and environmental performance functions, and whether vehicles of the same type should have identical AI performance.

Draft update of the introductory handbook to WP.29, its processes and procedures.

Status of the proposals adopted during the March 2018 session.

Discussion document prepared under the WP.29 committee for coordination on the creation of a permanent GR Working Party dedicated to automated/autonomous and connected vehicles.

Proposal to clarify the definition of “Option” and “Module” as used within Global Technical Regulations.

This version of the programme developed by Japan and the European Union supersedes the previous versions and substitutes for planned formal document WP.29/2018/78.

Proposal to enable the approval of the laminated-glass panes with improved mechanical properties, especially as designed for front, exterior, forward-facing glazing of the upper deck of a double-deck vehicle. This request follows the approval by GRSG of a similar amendment to UN R43 (document GRSG/2018/7) and therefore seeks to maintain the alignment between GTR 6 and UN R43.

Presentation on a UNECE database and modeling tool for aiding the development of road-safety policies.

Update of document WP.29/2018/80.

Presentation made during the ITS/Automated Driving informal group session.