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Trajectory Optimization Validator for ADAS/AV Planning

Validate ADAS/AV trajectories against safety, comfort, and regulatory constraints

3.7(16 reviews)
100+ downloads
Updated Sep 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can evaluate trajectory candidates against your ADAS/AV system's specific kinematic, dynamic, and comfort constraints in seconds. The skill identifies which constraints are violated, explains root causes, suggests optimization strategies, and generates compliance documentation for functional safety audits—eliminating manual verification errors that could reach simulation or road testing.

Features

Kinematic/dynamic feasibility validation

checks curvature, acceleration, jerk limits against vehicle capabilities

Multi-constraint violation detection

flags breaches of safety, comfort, and regulatory thresholds with root-cause analysis

Safety vs. comfort optimization

analyzes trade-offs and recommends parameter adjustments for competing objectives

ISO 26262/SOTIF compliance evidence generation

documents trajectory validation for functional safety audits and ASIL ratings

Trajectory candidate comparison

ranks multiple planning solutions against your system's weighted objectives

Constraint requirement reverse-engineering

derives specification requirements from failed trajectory examples

Planning failure diagnosis

explains why trajectories violate constraints and suggests correction strategies

Batch validation reporting

processes multiple scenarios and exports structured compliance documentation

Example Output

Input: Trajectory with max lateral acceleration 8.5 m/s², comfort limit 5 m/s²

Output:

code
✗ COMFORT VIOLATION: Lateral acceleration exceeds 5 m/s² limit
  - Peak: 8.5 m/s² at waypoint 12 (t=2.3s)
  - Root cause: Turn radius 45m at speed 18 m/s → a = v²/r = 7.2 m/s²
  - Recommendation: Increase radius to 65m OR reduce speed to 15 m/s

✓ SAFETY OK: Below 12 m/s² emergency limit
✓ DYNAMICS OK: Feasible for vehicle with 0.95g lateral grip
✓ ISO 26262: Trajectory meets ASIL B requirements

Compare two lane-change candidates:

code
Trajectory A: 3.2s duration, 4.8 m/s² peak comfort ✓
Trajectory B: 2.1s duration, 6.2 m/s² peak comfort ✗
Recommendation: Use A for passenger comfort; B only for emergency maneuvers

What's Included

  • SKILL.md instruction file with constraint frameworks and validation logic:
  • Constraint validation checklist (safety limits, comfort thresholds, kinematic/dynamic bounds):
  • Trajectory evaluation template for systematic analysis of motion planning outputs:
  • ISO 26262 compliance mapping linking trajectory validation to functional safety evidence:
  • Multi-objective optimization worksheet for safety vs. comfort trade-off analysis:
  • Batch validation report generator for processing multiple scenarios and exporting structured findings:

Who It's For

  • ADAS/autonomous vehicle planning engineers validating motion planner outputs
  • Control systems engineers designing trajectory optimization constraints
  • Functional safety engineers documenting ISO 26262/SOTIF compliance for AV systems
  • Simulation engineers screening trajectory candidates before vehicle-in-the-loop testing
  • Autonomous vehicle program managers tracking planning system maturity and safety readiness

Best For

  • Pre-simulation trajectory validation to catch planning failures early
  • Root-cause analysis of constraint violations in failing scenarios
  • Safety vs. comfort optimization for specific driving conditions
  • Compliance evidence generation for functional safety audits
  • Comparative ranking of multiple trajectory candidates
  • Batch processing of hundreds of scenario trajectories for statistical validation

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