Toyota Safety Sense earns the Alphard full marks from JNCAP

Japan's JNCAP results of 30 May 2019 gave the Toyota Alphard full marks, 126 of 126 points, in the fiscal 2018 preventive safety assessment, which included braking for pedestrians at night.

  • Not rated society

    Pedestrians stand to gain, but JNCAP reports assessment scores and no crash outcomes.

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

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent assessment report supports the benefit.

The system’s part
Not isolated. JNCAP tested the car with its system on and ran no test without it. MLIT's release does not describe the sensors or how the system recognizes pedestrians. Toshiba credits its Visconti 4 image processor's handling of luminance differences for better detection at night. It links deep neural networks to its Visconti series in general and to its next processor, Visconti 5. None of the documents shows that the detection in this car learns from data.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome

Download data Cite Suggest a correction

Benefit type
Increased Product Safety
System
Toyota Safety Sense collision-mitigation braking (AEBS), as fitted to the Toyota Alphard and Vellfire (fiscal 2018)
Made by
Toyota
Used by
Toyota (fitted to the Alphard and Vellfire)
Where
Japan
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events, Operating Vehicles, Mechanized Devices, or Equipment
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Assessment report, by authors with no tie to the system.

    Ministry of Land, Infrastructure, Transport and Tourism (MLIT), with the National Agency for Automotive Safety and Victims' Aid (NASVA). 平成30年度「自動車アセスメント」の評価結果を公表します！ Press release, 30 May 2019. In English, the quoted passage says that the Toyota Alphard scored full marks and won the grand prize for preventive safety performance.

    トヨタ「アルファード」が満点を獲得し、予防安全性能評価大賞受賞

  2. Press release, by the makers.

    Toyota Motor Corporation. JNCAP Assessment on Toyota Vehicles Announced. News release, 30 May 2019.

    The Alphard/Vellfire, Crown, and Corolla Sport equipped with the latest Toyota Safety Sense―a pre-collision safety system that detects pedestrians at night―received the highest rank of ASV+++ in JNCAP's assessment of preventive safety performance.

  3. Press release, by the makers.

    Toshiba Electronic Devices & Storage Corporation. Toyota Alphard/Vellfire with Toshiba's Advanced Image Recognition Processor Wins Japan's Highest Award for Preventive Safety Performance. News release, 11 June 2019, archived copy. Toshiba supplies its Visconti 4 image recognition processor for DENSO's front camera in Toyota vehicles. It names the Alphard/Vellfire, Crown and Corolla Sport among the Toyota models that scored highest in fiscal 2018.

    The LSI's ability to process luminance differences between objects and their backgrounds, realizing better detection of pedestrians at night and in low light conditions, helped the Toyota vehicles win high scores in assessment of collision avoidance braking for pedestrians.

Details

AI system

Workflow

The Alphard/Vellfire carried the latest Toyota Safety Sense, which detects pedestrians at night. JNCAP added braking for pedestrians at night under street lighting to its fiscal 2018 assessment.

Follow-up

Conditions for replication

Weather, surroundings and road conditions let the system work, since MLIT warns that it may not work fully in some conditions. The driver stays in control, since MLIT describes these devices as aids to the driver.

Entry details

Sector

Road vehicle crash avoidance.

Purpose

Toyota built the pre-collision system of Toyota Safety Sense to detect pedestrians ahead and to brake to mitigate a collision.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, 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). Toyota Safety Sense earns the Alphard full marks from JNCAP (AIBD-0967). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-0967.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

BibTeX Data Field definitions