Auto Emergency Assist and Lane Assist earn full motorcyclist points

ANCAP rated the GWM Cannon Alpha ute five stars on 7 November 2024. Its braking and lane support earned full points in the motorcyclist tests, 6.00 of 6 and 3.00 of 3.

  • Not rated society

    Motorcyclists, pedestrians and cyclists stand to gain, but ANCAP reports track tests 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

Two independent assessment reports support the benefit.

The system’s part
Not isolated. ANCAP tested the ute with its systems on and ran no test without them, so the scores describe the systems on the track. The report names the systems and their operating speeds and lists a camera-based speed limit function. It does not describe the sensors used for braking or show that the detection learns from data.
Later
Persisted. In December 2025, ANCAP updated the rating, which now applies to the diesel, hybrid and plug-in hybrid variants.
Not yet checked
LimitsCosts and harmsLearns from data

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Benefit type
Increased Product Safety
System
Auto Emergency Assist (autonomous emergency braking with forward collision warning) and Lane Assist with emergency lane keeping, as fitted to the GWM Cannon Alpha (2024)
Made by
Great Wall Motor (GWM)
Used by
GWM (standard on the Cannon Alpha sold in Australia and New Zealand)
Where
Australia and New Zealand
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, Cross-border records
Last revised
1 November 2026

Sources

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

    ANCAP. GWM Cannon Alpha (June 2024 onwards), ANCAP safety rating technical report. Rating published November 2024 and updated December 2025. Tested vehicle a GWM Cannon Alpha 2.0L hybrid Ultra RHD. Section on vulnerable road user protection.

    GOOD performance was seen in the AEB and LSS motorcyclist tests, including the turning and overtaking scenarios, earning full points.

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

    ANCAP. GWM Cannon Alpha becomes first hybrid ute tested and rated by ANCAP. Media release, 7 November 2024.

    The Cannon Alpha's active collision avoidance capability - which assists in minimising the risk of collision with either a pedestrian, cyclist, motorcyclist or other vehicle - also scored well.

Details

AI system

Workflow

Auto Emergency Assist works from 5 to 80 km/h for pedestrians, cyclists and motorcyclists and from 5 to 150 km/h for cars. Lane Assist with emergency lane keeping works from 60 to 150 km/h. ANCAP tested a right-hand-drive 2.0-litre hybrid Ultra.

Follow-up

Conditions for replication

Speeds fall within the systems' operating ranges. The hazard is ahead of the vehicle, since braking for pedestrians behind the reversing car was marginal.

Entry details

Sector

Road vehicle crash avoidance.

Purpose

GWM built Auto Emergency Assist and Lane Assist to warn the driver, brake automatically and keep the vehicle in its lane to avoid or lessen collisions.

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). Auto Emergency Assist and Lane Assist earn full motorcyclist points (AIBD-1099). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1099.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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