SYSTEM ENGINEERING

Smart Mobility for India. Made in India.

Context

Complex ODD Challenges

India represents one of the most intricate Operational Design Domains (ODD) to implement ADAS due to highly dynamic road conditions: chaotic traffic, unpredictable road users, and complex density.

HL Klemove democratizes autonomous driving in this complex environment. Our System Engineering Team focuses on enhancing feature robustness, scenario coverage, and region-specific algorithm adaptation based on real Indian driving conditions.

System Engineering

Technical Focus Areas

Bridging the gap between controlled testing and real-world Indian road behavior.

Scenario-Based Refinement

Collecting and analyzing real-world field data to derive measurable system requirements, ensuring reliability under noisy and non-ideal perception conditions.

TRACEABILITY & KPI

Corner Case ID

Handling low-contrast markings, complex intersections, and sudden intrusions.

System Safety

Embedding data into development to enhance overall safety performance.

Validation

Requirement validation through rigorous scenario qualification testing.

KPI Definition

Defining acceptable and measurable KPIs for objective assessment.

Fusion Logic Improvements

Improving object classification and prioritization for mixed traffic (two-wheelers, pedestrians) to ensure correct safety-critical reactions.

STABILITY & CONSISTENCY

  • Interface Definition

    Between perception, fusion, platform, and decision logic.

  • Confidence-Based Decisions

    Robust selection mechanisms for safety-critical actions.

  • Object Logic

    Re-association to stop flickering; handling occlusions and overlaps.

Test-Driven Optimization

Closed-loop process combining field testing, log-based replay, RCA, and parameter refinement for faster production readiness.

  • Field testing diverse routes
  • Log-based reconstruction
  • Re-validation sessions

Outcome & Impact

  • Increased Scenario Coverage
  • Higher Feature Stability
  • Improved Comfort & Predictability
Roadmap

Looking Ahead

Expanding capabilities in automated scenario tagging, simulation-driven validation, and AI-based decision logic for emerging features.

"Contributing to safer and more intelligent mobility solutions designed for one of the most demanding markets in the world."