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Drift Mode

The Next Generation of Performance

Timeline

Timeline

Sep - Dec 2025

Sep - Dec 2025

Role

Role

Designer & Developer

Designer & Developer

Platforms

Platforms

Figma, Unreal Engine, After Effects

Figma, Unreal Engine, After Effects

Concept

An AI implemented drift mode that assisted drivers while drifting both on track and on the road.

Problem

Performance driving demands split-second decisions, yet most in-car interfaces today are built for everyday commuting, not high-intensity scenarios like drifting. Critical information is often scattered across multiple displays or even omitted, forcing drivers to divide their attention at the exact moments focus matters most. Drift Mode addresses this gap by delivering a focused, intelligent HUD that adapts to the driving context—supporting performance without compromising safety.

Research

UX AUDIT

UI plays a critical role in shaping the experience and relationship between driver and car. A well-designed UI allows drivers to access key information quickly, reduces distractions, and enhances confidence while operating the complex vehicle at a high speed.

Future Analysis

Future UI will most likely focus on simpler, faster, and more intuitive interactions. UI will aim to enhance the emotional and performance experience while keeping drivers fully engaged.

Pain Points

Leading Question

How might we transform the car's interface into an intelligent co-driver that supports performance driving without interrupting flow?

Solution

Drift Mode is an AI-powered HUD designed specifically for performance driving. By consolidating critical data into a single, glanceable interface, the system adapts in real time to the driver's context — delivering safety cues, proximity warnings, vehicle orientation, and drift guidance directly in the driver's line of sight.

Information Architecture

User types

Drift Mode supports three types of drivers: the enthusiast pushing limits on track, the learner building confidence in controlled environments, and the instructor guiding others toward safer, more precise technique.

Moodboards

Design

Wireframes

Final Design

Features

Configuration Panel

Centralized vehicle-state indicator that represents the car’s orientation and condition in real time. The gyro visualizes steering angle, tire slip and heat, and body stress through intuitive motion and color cues, allowing drivers to instantly understand the vehicle’s limits at a glance. By translating complex vehicle dynamics into a single, readable form, the system supports safer decision-making during high-intensity driving.

Proximity Awareness

Spatial awareness feature that monitors nearby vehicles and obstacles during high-intensity driving. By visualizing proximity and closing distance directly within the HUD, the system helps drivers maintain spatial awareness during drift maneuvers, reducing collision risk without relying on disruptive alerts.

Edge Collision

Safety-focused feature that detects road edges, drop-offs, and environmental boundaries during high-performance driving. Drift Mode visualizes edge proximity directly within the HUD, providing early, non-intrusive warnings as the vehicle approaches unsafe boundaries—helping drivers maintain control and prevent catastrophic off-road incidents without breaking driving flow.

Guide

Visual guide that traces the optimal drift path and angle during performance driving. By responding dynamically to steering input, speed, and vehicle orientation, the Drift Guide helps drivers maintain controlled drift lines while avoiding overcorrection. The guide supports precision and safety by reinforcing smooth, intentional inputs rather than aggressive, reactive steering.