IEEE P2846 2022

$49.83

IEEE Approved Draft Standard for Assumptions in Safety-Related Models for Automated Driving Systems

Published By	Publication Date	Number of Pages
IEEE	2022

Guaranteed Safe Checkout

Category: IEEE

If you have any questions, feel free to reach out to our online customer service team by clicking on the bottom right corner. We’re here to assist you 24/7.
Email:[email protected]

Description

New IEEE Standard – Active – Draft. This standard applies to road vehicles. Within its Normative portion, it defines a minimum set of reasonable assumptions and foreseeable scenarios that shall be considered in the development of safety-related models that are part of automated driving systems (ADS).

PDF Catalog

PDF Pages	PDF Title
1	Front Cover
2	Title page
4	Important notices and disclaimers concerning IEEE Standards documents
7	Participants
12	Contents
14	1. Overview 1.1 Scope 1.2 Purpose 1.3 Word usage
15	2. Normative references 3. Definitions, acronyms, and abbreviations 3.1 Definitions
18	3.2 Acronyms and abbreviations 4. Minimum set of assumptions about reasonably foreseeable behaviors of other road users to be used in scenarios 4.1 Assumptions
23	4.2 Application of assumptions to scenarios 4.2.1 Rationale for example scenario selection
24	4.2.2 Coordinate system
27	4.2.3 Scenario definitions
28	4.2.3.1 V1-S1: Ego vehicle driving next to other road users
30	4.2.3.2 V1-S2: Ego vehicle driving longitudinally behind another road user
31	4.2.3.3 V1-S3: Ego vehicle driving in between leading and trailing road users
32	4.2.3.4 V1-S4: Ego vehicle’s path intersecting with VRU crossing the road
34	V1-S5: Ego vehicle’s path intersecting with other road user’s path moving in opposite direction
35	V1-S6: Ego vehicle negotiating an intersection with nonoccluded road users
37	4.2.3.7 V1-S7: Ego vehicle negotiating an intersection with occluded road users
39	5. Common attributes from contributed safety-related models 5.1 Safety-related model attributes(verifiable or demonstratable via inspection 5.1.1 Incorporates the laws of physics
40	5.1.2 Accommodates acceptable risk 5.1.3 Supports reasonably foreseeable scenarios 5.1.4 Focuses on motion control 5.1.5 Incorporates assumptions 5.1.6 Based on current position, heading and velocity of other safety-relevant objects
41	5.1.7 Supports prioritization of safety objectives 5.1.8 Is sensitive to adjustment in parameter values 5.1.9 Supports diverse safety-relevant objects 5.1.10 Supports emergency maneuvers
42	5.1.11 Defines a hazardous situation 5.1.12 Defines proper responses 5.1.13 Differentiates between initiator and responder For example, in a proper response definition, a safety-related model differentiates what actions the initiator and the responder should take, respectively, that would be an instantiation of this attribute. 5.1.14 Supports directional flexibility 5.1.15 Supports occlusion scenarios
43	5.1.16 Defines a safety envelope 5.1.17 Considers reasonably foreseeable events regarding right of way 5.1.18 Supports a theoretical outcome of no collisions upon universal adoption 5.1.19 Supports formal verification
44	5.1.20 Supports creation of performance indicators 5.1.21 Can be expressed in formal notation 5.1.22 Is transparent 5.1.23 Considers weather-related environmental conditions and road surface conditions 5.2 Safety-related model attributes demonstratable via validation 5.2.1 Validated through empirical evidence and industry best practices 5.2.2 Enables the ADS-operated vehicle to navigate safely
45	5.2.3 Exhibits a reasonable level of caution 5.2.4 Considers human violations of traffic rules Safety-related models can take into consideration that sometimes human road users may intentionally or unintentionally violate traffic rules in specific scenarios. While there does not exist a universal and complete list of possible human violations of traffic rules, the safety-related model can consider those that are reasonably foreseeable in the ODD. 5.2.5 Supports regional differences in behavior 5.2.6 Incorporates empirical, evidence-based methods
46	6. Validation and Verification (V&V) methods for assumptions used in safety-related models
47	6.1 Systematic process 6.2 Safety-By-Design architectures 6.3 Formal methods
48	6.4 Robustness analysis 6.5 Simulation testing
49	6.6 Closed course testing 6.7 Public road testing
50	Annex A (informative)Application area: Use of IEEE Std 2846 normative assumptions within scenario-based virtual testing A.1 General A.2 Scenario-based testing (via simulation) A.2.1 Toward the definition of a kinematic search space
51	A.3 Role of assumptions for test-case generation
54	A.4 Exploring the kinematic search space
56	Annex B (informative) Bibliography
59	Back Cover

Additional information

Standard Title	IEEE Approved Draft Standard for Assumptions in Safety-Related Models for Automated Driving Systems
Published Code	IEEE
Publication Date	2022

Preview PDF


PDF Format	Searchable	Printable	Preview Now

IEEE P2846 2022

PDF Catalog

Related products