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Lexus Safety System + on the UX brakes for pedestrians on unlit roads

Japan's JNCAP results of 24 October 2019 gave the Lexus UX full marks, 141 of 141 points. It braked for pedestrians at night even without street lighting, a condition added that year.

  • 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

found, the grade of this recordstudiedreportedclaimed

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 mentions deep neural network hardware only for its successor, 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
Benefit type
Increased Product Safety
System
Lexus Safety System + collision-mitigation braking (AEBS), as fitted to the Lexus UX (2019)
Made by
Toyota (Lexus)
Used by
Lexus (fitted to the UX)
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). 令和元年度前期「自動車アセスメント」の評価結果を公表します! Press release, 24 October 2019. In English, the quoted passage says that the Lexus UX and NX also handled the night condition without street lighting and scored full marks. JNCAP added that condition to its test of braking for pedestrians that year.

    中でもレクサス「UX」及び「NX」は、今年度対象を拡充した「対歩行者衝突被害軽減ブレーキ ※ 」の「夜間街灯なし」条件にも対応し、満点を獲得しました。
  2. Press release, by the makers.

    Toyota Motor Corporation (Lexus). 日本の2019年度安全性評価プログラムJNCAPにおいてLEXUS ES、NX、UXが最高ランクを獲得. News release, 23 October 2019. In English, the quoted passage says that the ES, NX and UX, which carry the latest Lexus Safety System + with recognition of pedestrians at night, won the ASV+++ award for preventive safety in fiscal 2019.

    夜間の歩行者認識に対応した最新のLexus Safety System +を備えるES、NX、UXは、2019年度のJNCAP予防安全アセスメントで「予防安全性能評価ASV+++賞」を獲得。
  3. Press release, by the makers.

    Toshiba Electronic Devices & Storage Corporation. Toyota Lexus UX and Lexus NX with Toshiba's Image Recognition Processor Win Highest Score in Japan's Assessment of Preventive Safety Performance. News release, 26 November 2019, archived copy. Toshiba supplies its Visconti 4 image recognition processor for DENSO's front camera in these Toyota vehicles.

    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 the assessment.

Details

AI system

Workflow

The UX carried the latest Lexus Safety System +, which recognizes pedestrians at night. JNCAP extended its night test of braking for pedestrians to roads without street lighting in fiscal 2019.

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 Lexus Safety System + to recognize pedestrians ahead and to brake to mitigate a collision.

31 more questions not yet checked

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Cite this record

Peter H. Vartanian. (2026). Lexus Safety System + on the UX brakes for pedestrians on unlit roads (AIBD-0968). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-0968.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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