Autonomous sensor systems
Contact: Kofi Makinwa
In IoT applications, sensors operate in a network. Limited power resources favor power-efficient communications. Sensors can communicate only with neighboring nodes, creating a dynamic and complex network that relies on self-organizing and self-healing capabilities.
In biomedical applications, the sensors need to be miniaturized and packaged to be bio-compatible or implantable, as e.g. with smart (multi-modal) catheters or electroceuticals, which combine sensing, local data processing, and actuation.
In other applications (autonomous driving or flying enabled by a variety of radar sensors distributed over many nodes), the focus is on robustness and reliability in view of a very dynamic network, and optimal fusion of different sources of information. With TUE we collaborate on a program to realize a low-frequency radio telescope in space using a swarm of nano-satellites (OLFAR). Emerging technologies such as neuromorphic computing and structured data science are expected to play an important role in future.
Projects under this theme
Delft Sensor AI Lab
AI for sensor networks
Automotive Intelligence for Connected Shared Mobility
Architectures for embedded intelligence and functional virtualization for connected and shared mobility using trustworthy AI
Distributed Artificial Intelligent Systems
Running existing algorithms on vastly distributed edge devices
Compact modelling of high-tech systems for health management and optimization along the supply chain
Challenging environments tolerant smart systems for IoT
In-vehicle health monitoring
Airborne data collection on resilient system architectures
Develop algorithms to realize efficient, robust, cost-effective perception and control for autonomous navigation of drones
Intelligent Reliability 4.0
Graphene Flagship core 3: Transferless graphene in sensing applications
Internet of Things (IoT) security through machine learning and data sharing
Virtual platforms for perception and control in highly automated vehicles, based on safety by design
High Performance Vehicle Computer and Communication System for Autonomous Driving
Coded-Radar for Interference Suppression in Super-Dense Environments
CRUISE will address the challenges regarding spectrum crowding and ensures proper radar signal detection, accurate ranging, Doppler and azimuth measurements, and object classification in a highly-occupied frequency spectrum
Solid State Lighting reliability for automotive application
PIPP OLFAR: Breakthrough technologies for Interferometry in Space
Combine multiple satellites into one single scientific instrument: a radio telescope in space
Monolithically integrated SiC sun sensor for Space
Programmable Systems for Intelligence in Automobiles
(a) fail-operational sensor-fusion framework, (b) dependable embedded E/E architectures, (c) safety compliant integration of AI approaches for object recognition, scene understanding, and decision making
Task-cognizant sparse sensing for inference
Low-cost sparse sensing designed for specific tasks
Low-frequency distributed radio telescope in space
Below 15 MHz, the ionosphere blocks EM signals from the sky. Therefore, can we design a radio telescope in space, using a swarm of inexpensive nano-satellites? Accurate localization and clock recovery is important.
EI @ 2021 Huawei Student Design Contest
The Electronic Instrumentation (EI) lab wins two awards at the Huawei 2021 Analog/RF IC Student Design Contest.
Jan Angevare and Kofi Makinwa, co- recipients of the ISSCC 2021 Takuo Sugano Award for Outstanding Far-East paper
Jan Angevare and Kofi Makinwa (EI) are co-recipients of the ISSCC 2021 Takuo Sugano Award for Outstanding Far-East Paper
Best Student Paper Award at ESSCIRC for EI students
The paper “A −109.1 dB/−98 dB THD/THD+N Chopper Class-D Amplifier with >83.7 dB PSRR Over the Entire Audio Band” was selected for the Best Student Paper Award at ESSCIRC 2021 and will be awarded during the 2022 ESSCIRC-ESSDERC Conference in Milan in September 2022.