Domains
ADAS & Automated Driving
From sensor data to a safe actuator command — perception, fusion, planning, control and validation.
- ACC
- AEB
- LKA / LCA
- Lane change assist
- Blind spot detection
- ISA
- Park assist
- Highway assist
ADAS is a core specialty of our team. We cover the full chain — sensing, fusion, planning, control and actuation — and validate it with the same rigor as chassis safety functions.
01
Perception
- Radar, camera and ultrasonic sensor integration
- Machine-learning-based object detection and classification
- Sensor requirements, mounting and field-of-view analysis
- Perception performance metrics and limitations
02
Sensor fusion & environment model
- Object-level and track-level fusion
- State estimation and Kalman filtering
- Free-space, lane and road-edge modeling
- Confidence and degradation handling
03
Situation analysis & path planning
- Target selection and threat assessment
- Trajectory planning for lane keeping and lane change
- Driver intent and takeover strategies
- Operational design domain definition
04
Longitudinal & lateral control
- ACC and AEB control laws
- Lane keeping and lane centering control
- Comfort and jerk limits
- Tuning on simulator, track and open road
05
Actuation & arbitration
- Interfaces to steering, propulsion and braking
- Arbitration with driver and chassis functions
- Degradation modes and safe states
- Fail-operational requirements for by-wire actuators
06
SOTIF & scenario-based validation
- ISO 21448 triggering conditions and known/unknown scenarios
- Scenario catalogs aligned with ISO 34502
- MIL, SIL, HIL and VIL test strategy
- ISO/PAS 8800 considerations for machine-learning components
07
Regulations & ratings
- Euro NCAP assessment readiness
- UN R152, UN R79 (ACSF), UN R157, UN R171
- GSR (EU) 2019/2144 ADAS requirements
- Compliance evidence and test reports