Week 6

Roo bars, AEB, and their blind spots

The Brochure Has Excellent Daytime Vision

A polished claim

“Our system detects wildlife before you do.”

Which wildlife? At what distance? In what lighting? With what consequence?

A claim that answers none of these hasn’t told you anything yet.

Four different functions

  • detection — identifies a possible hazard
  • warning — alerts the driver
  • automatic emergency braking (AEB) — changes the vehicle’s motion
  • impact protection — changes the collision, if one occurs

A roo bar is impact protection only. It does not detect. It does not brake.

False positives, false negatives

100 staged trials: 40 with an animal present, 60 without.

TrialDetectedMissed
Animal present (40)346
TrialFalse alarmCorrectly quiet
No animal (60)951

False negative rate = 6/40 = 15%. False positive rate = 9/60 = 15%.

Different denominators. A single “accuracy” figure hides both.

Detection distance meets the margin

Distance margin = assumed detection distance − modelled stopping distance

  • 120 m stated range, 80 km/h (71.3 m stopping): margin +48.7 m
  • same system, 60 m once obscured by vegetation: margin −11.3 m

The headline range and the fine-print range are not the same claim.

Detection rate ≠ collision prevention

85% detection is not 85% of collisions prevented.

Between detection and prevention: warning comprehension, driver reaction, whether the vehicle can actually stop in time, whether the animal stays put.

One is a claim about a sensor. The other is a claim about an entire chain.

Performance varies by condition

  • lighting — daylight, dusk, night, glare
  • animal type and posture — stationary and broadside vs. fast and end-on
  • obstruction — vegetation hides animals from sensors too
  • speed — validated at 60 km/h isn’t validated at 100 km/h

A card that states one condition has told you about one condition.

Three cards and a roo bar

CardFunctionRange/distanceLatencyUnverified for
A — opticaldetect + warn90 m daylight, degrades below ~20 lux0.4 slow light
B — thermaldetect + warn120 m, ~60 m if obscured0.6 sreptiles, small animals
C — AEB fusiondetect + brakeTTC-triggered, to 60 km/h0.3 swildlife, >60 km/h
Roo barimpact protectionn/an/acompatibility, injury outcomes

Designing a fair test

A test can favour a product without lying — just by choosing conditions.

A fair test states conditions in advance, includes the ones a vendor would rather skip, reports a real denominator for every rate, and says plainly what it didn’t test.

Insufficient evidence is a valid answer

None of the three fictional systems has been shown to prevent a collision.

Each has been shown to do something narrower, under stated conditions.

“Conditionally promising” is an honest ceiling. You are not required to pick a winner.

Where this connects to your assessment

Checking a denominator. Separating detection from prevention. Reading a specification’s stated limits.

The literature review and hotspot analysis — due 12 April 2027, 40% — rewards exactly these habits, applied to published research.

“Wildlife detection” is a category. “The kangaroo behind that bush” is a test case.

The brochure has excellent daytime vision.