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Rogues with ProPILOT Assist draw fewer injury claims in early data

HLDI found that Nissan Rogues with ProPILOT Assist had 28% fewer personal injury protection claims. Its other claim reductions were not statistically significant.

  • Not rated society

    HLDI found one statistically significant drop in injury claims, and IIHS later attributed the lower crash rates of equipped Rogues to other features of the cars or their drivers.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudied, the grade of this recordreportedclaimed

An independent research report supports the benefit.

Compared with

Insured 2017-18 Rogues without ProPILOT Assist, with the other driver assistance features controlled for. Measured.

The system’s part
HLDI compared insured Rogues with and without ProPILOT Assist and controlled for the other driver assistance features. HLDI could not tell from its claims data whether the system was switched on in a crash. The bulletin describes a camera that detects lane markings and does not mention machine learning.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Challenged, 11 July 2024. IIHS reported that a 2021 HLDI study of 2017-19 Rogues found no added benefit from ProPILOT Assist. From police-reported crashes, IIHS's Jessica Cicchino inferred that other features of the equipped cars or their drivers explained their lower crash rates.
Benefit type
Increased Product Safety
System
ProPILOT Assist
Made by
Nissan
Used by
Nissan (optional equipment on the 2018 Rogue, driven by insured owners)
Where
United States
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Operating Vehicles, Mechanized Devices, or Equipment, Identifying Objects, Actions, and Events
Collections
Scrutiny and findings, Cross-border records
Last revised
31 October 2026

Sources

  1. Report, by authors with no tie to the system.

    Highway Loss Data Institute. Impact of Nissan ProPILOT Assist on insurance losses. HLDI Bulletin Vol. 36, No. 29, December 2019.

    Early evidence indicates that Nissan's Level 2 driving automation system, ProPILOT Assist, is preventing crashes and reducing insurance losses, but additional research is necessary to understand the mechanism through which it is reducing insurance losses.
  2. Press release, by authors with no tie to the system. Context or contrary evidence.

    Insurance Institute for Highway Safety. IIHS-HLDI research finds little evidence that partial automation prevents crashes. News release, 11 July 2024.

    However, there was no additional benefit associated with ACC or Nissan's ProPILOT Assist partial automation system, which adds lane centering on top of ACC.

Details

AI system

Workflow

A front camera detected lane markings, and the system steered to keep the car centered in its lane. The system worked with Intelligent Cruise Control, a radar-based adaptive cruise control.

Follow-up

Conditions for replication

The driver keeps hands on the wheel, or the system warns, brakes and then stops the car. Lane markings are detected and the windshield wipers are not running.

Entry details

Sector

Road vehicle crash avoidance.

Purpose

Nissan built ProPILOT Assist to keep the car centered in its lane while it controls speed and following distance.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Rogues with ProPILOT Assist draw fewer injury claims in early data (AIBD-0901). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0901.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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