Build Smarter Autonomous Vehicles with Performance Evaluation

Failure mode RCA identifies defects causing system failures by analyzing logs, classifying faults, and recreating test scenarios which helps pinpoint the root cause of system failures.

DDD’s expertise enables rapid and accurate failure analysis, providing engineering teams with actionable insights that cut development time and costs while refining system requirements.

Behavioral data triage analyzes autonomous system logs to detect and categorize critical behavioral flaws, sub-nominal trends, and preemptive risk indicators.

DDD delivers precise, efficient behavioral analysis that enhances system robustness and operational reliability with deep exposure to diverse autonomy platforms.

Defect taxonomy management organizes defects into a hierarchical taxonomy, aiding engineers in systematic RCA, safety analysis, and scenario tagging which evolves with the system’s design maturity.

DDD builds and maintains customized defect taxonomies, ensuring consistency in failure classification and enabling engineers to perform effective failure diagnostics and trend analysis.

Performance evaluation workflow ensures seamless integration of feedback from onboard and offboard tests enabling systems to align with business goals and regulatory requirements.

DDD designs tailored evaluation workflows, ensuring the right balance between analysis depth, turnaround time, and safety validation.

Automated performance validation uses AI-driven analytics, increasing efficiency, objectivity, and iteration speed to ensure scalable, repeatable, and unbiased assessment of system performance.

DDD helps implement automated validation frameworks, accelerating development cycles, improving reliability, and ensuring compliance with safety and performance benchmarks.