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PhD - Coggle Diagram
PhD
PhD
1
Map Aggregation / Meisen
2
Occupancy Grid Maps (better description?) / Tutsch
6
Uncertainty Quantification Auto-GT / Gottschalk
3
NLP / Meisen
Frontend integration necessary
5
Semantic Scene Understanding with Focus on the Behaviour of Traffic Participants / Gottschalk
Frontend integration nessesary
4
Non-Causal Deep Tracking with Ego Motion Compensation / Gottschalk
7
Calibration
OGMs
Overdrivable (reltated to lanes)
Semantic and Height Maps
Semantic Lidar Segmentation
Data Augmentation
Anomaly Detection ?
General Object Detector / Clustering of Objects
Curation Methods
NLP
Text based search
Semantic graphs
Scene understanding
Dataset generation
Sensor Domänen
Lidar
Radar
Kamera
Action Recognition
Temporal / Spatial Features
Binary Classification
Brainstorming
In between steps
Meta Data Extension
Sensor Related
Fusion
Limitations
Data Class Extensions
Street Marking Detection
Ego Motion Compensation
Anomaly Detection
Outlier Detection
Sanity Check Microservices
Route Planning
Synthetic Datasets
NLP Queries
Knowledge Graph
HD Map Creation
3D Model Layer
Mesh
Textures
POI Layer
Static Object Layer
Road Layer
Road Network Layer
Road Geometry Layer
Semantic Road Layer
Overdrivability
Parking
Lanes
Lane Connectivity
Lane Geometry
Sidewalk
Traffic Control Layer
Street Markings
Street Lights
Street Signs
Street Furniture
Dynamic Data
Traffic Flow Estimation
Agents
Class specific Evaluations
Maneuvers
Action Recognition
Context Aware Prediction
Detect Traffic Rule Violation
Auto GT uncertainty quantification
Calibrate networks
Provide Standdard deviation for Bounding Boxes
[
https://arxiv.org/pdf/2107.03342.pdf
]
Gottschalk
Front-End
Usability Research
Web Design
Efficiency
Non-Causal Methods
Non-Causal Tracker
Classic
Deep
LiDAR + Cam
SLAM
Camera Lane Detection
with CV Team?
Adas247
Cryptography