Back to search

Article

Motions Speak Louder Than Words: Designing Human-like AV Speed Profiles at Crosswalks with a Bayesian Optimisation–Driven Adaptive Experiment

2026-06-13

Abstract excerpt

<p>Autonomous vehicles (AVs) must communicate intent to pedestrians in mixed traffic to ensure safe interaction, and vehicle deceleration motion is a promising implicit communication channel. Designing acceptable AV deceleration remains difficult because it is continuous with interdependent kinematics, making fixed‑design experiments inefficient. We therefore parameterised deceleration using a minimum‑jerk model (...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
fff35b67-417e-5405-87ee-6b33c3ed44a1
DOI
10.31234/osf.io/epd3v_v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Motions Speak Louder Than Words: Designing Human-like AV Speed Profiles at Crosswalks with a Bayesian Optimisation–Driven Adaptive ExperimentDOI 10.31234/osf.io/epd3v_v1
Select a neighboring publication to make it the new centre.