INSPEX: Make environment perception available as a portable system

Conference: Smart Systems Integration - 13th International Conference & Exhibition on Integration Issues of Miniaturized Systems
04/10/2019 - 04/11/2019 at Barcelona, Spain

Proceedings: SmartSystems Integration

Pages: 7Language: englishTyp: PDF

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Foucault, Julie; Lesecq, S.; Debicki, O.; Mareau, N.; Ouvry, L. (Université Grenoble Alpes, CEA, LETI, 38000 Grenoble, France)
Correvon, M.; Dudnik, G. (CSEM SA, 2002 Neuchâtel, Switzerland)
Barrett, J.; Rea, S.; McGibney, A. (Cork Institute of Technology, Ireland)
Birot, F.; Chaumont, H. de (GoSense, Lyon, France)
Banach, R.; Razavi, J. (School of Computer Science, University of Manchester, UK)
Herveg, J.; Thiry, F. (University of Namur, Belgium)
Jackson, C.; Buckley, S. (SensL, Ireland)
Matteo, A. di; Palma, V. Di; Passoni, M.; Quaglia, F. (STMicroelectronics Srl, Naples, Italy)
O’Murchu, C.; O’Keeffe, R. (Tyndall National Institute, Cork, Ireland)

Obstacle avoidance systems for autonomous vehicles combine multiple sensing technologies (i.e. LiDAR, Radar, Ultrasound and Visual) to detect different types of obstacles across the full range of lighting and weather conditions. Sensor data are fused with vehicle orientation (obtained for instance from an Inertial Measurement Unit and/or compass) and navigation subsystems. Power hungry, they require powerful computational capability, which limits their use to high-end vehicles and robots.