Feature & System Engineering
Requirements, decomposition, domain allocation, E/E architecture, ICD.
ADAS & Autonomous
SpeedEdge combines ADAS feature engineering, sensor fusion, perception, motion planning, control algorithms and real-world validation to develop intelligent mobility systems.
02 End-to-end ADAS engineering
SpeedEdge supports the ADAS engineering lifecycle across feature development, sensor systems, perception, planning, control and vehicle integration.
Requirements, decomposition, domain allocation, E/E architecture, ICD.
LiDAR calibration, point-cloud KPI analysis and blockage detection.
Object detection, scene understanding and multi-object tracking.
Motion planning, trajectory generation and closed-loop control algorithms.
System integration, vehicle dynamics and real-world validation.
03 Perception capabilities
SpeedEdge leverages advanced perception algorithms to detect, classify and track objects in complex driving environments.
Perception algorithms for detecting objects within the environment.
Interpretation of the surrounding driving environment.
Robust lane detection, classification and real-time tracking.
Real-time tracking of multiple detected objects to support perception systems.
04 Simulation, testing & real-world validation
SpeedEdge uses simulation, testing, and prototype development to validate ADAS and autonomous systems in real conditions.
CARLA / Gazebo • Scenario generation • Edge cases
Simulation-driven • Hardware-in-the-loop • Automated regression testing
LiDAR calibration • Point-cloud analysis • Environmental testing
Field testing • Fallback mechanisms • Autonomous prototypes
05 Proven through engineering
Partner with SpeedEdge for mission-critical engineering, compliance and validation.