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Although traffic safety continues to improve overall, fatalities of vulnerable traffic participants and pedal cyclists specifically have reached 30-year highs. While automotive radar sensors continue to advance and are integrated in more and more vehicles, they are not ideally suited to detect pedal cyclists, especially in complicated traffic scenarios. To mitigate the problem of the lower radar-cross section (RCS) of the cyclist, equipping them with harmonic radio frequency identification (RFID) tags is proposed. The presented system showcases the benefits of this approach by being able to conduct conventional automotive radar measurements and detect tags simultaneously. In this work, we present the printed-circuit boards (PCBs) and the necessary chipset, while especially focusing on the design of a power-efficient harmonic RFID tag. By improving the gain per current of an amplifier chain, the tag enables a range sufficient for urban scenarios while consuming little enough current to be powered by battery-operated lights. This enables the detection of pedal cyclists even in complicated scenarios at a distance of up to 80 m.

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No abstract

Sound is extremely important to our daily navigation, while sometimes slightly underestimated relative to the simultaneous presence of the visual sense. Indeed, the spatial sense of sound can immediately identify the direction of danger far beyond the restricted sense of vision. The sound is then rapidly and unconsciously interpreted by assigning a meaning to it. In this paper, we therefore propose an assisted-living device that deliberately stimulates the sense of hearing in order to assist vision-impaired people in navigation and orientation tasks. The sense of vision in this framework is replaced with a sensing capability based on radar, and a comprehensive radar profile of the environment is translated into a dedicated sound representation, for instance, to indicate the distances and directions of obstacles. The concept thus resembles a bionic adaptation of the echolocation system of bats, which can provide successful navigation entirely in the dark. The process of translating radar data into sound in this context is termed “sonification”. An advantage of radar sensing over optical cameras is the independence from environmental lighting conditions. Thus, the envisioned system can operate as a range extender of the conventional white cane. The paper technically reports the radar and binaural sound engine of our system and, specifically, describes the link between otherwise asynchronous radar circuitry and the binaural audio output to headphones.