Recognition and Tracking
• Road boundaries and lane detection
• Slopes estimation
• Vehicle recognition and tracking
• Distance & time to collision estimation
• Pedestrian detection and tracking
• Facade recognition and texture extraction
• Road signs recognition
Positioning
• Precise relative and absolute positioning
• Flexible data fusion and smooth Map Matching
• Automotive constrained SLAM
• Video based digital gyroscope
Predictable Environmental Model, Safety Apps V2X
• BSM transmitting/receiving
• Remote Vehicles trajectory prediction
• Basic safety applications based on collision detection
Computer Vision Approaches
• Real time feature extraction from video sensors
• Road scene semantic segmentation
• Adaptability and confidence estimation of output data
• GPU optimization for different platforms
Machine Learning Specifics
• CNN and DNN approaches
• Supervised MRF parameters adjustment
• CSP based structure & parameters adjustment (both supervised and unsupervised)
• Weak classifiers boosting & others
Integration with HD Maps
• HD Maps utilization for Precise positioning, Map matching and Path planning, Junction assistance
• Data generation for HD Maps
• Contribution to ADAS attributes structure NDS (HERE)
Sensor Fusion
• Flexible fusion of data from internal and external sources
• LIDAR data merging
• 3D environment model reconstruction based on different sensors
• Latency compensation & data extrapolation
Augmented Reality
• LCD, HUD & further output devices
• Natural navigation hints & infographics
• Collison, Lane departure, Blind spots warnings, etc.
• POIs and supportive information (facades and parking slots highlighting, etc.)
