Projet ULTRACEPT (Horizon 2020, appel à projets 2017)
Action : Staff Exchanges
Panel : Information Science and Engineering
Statut du projet : SIGNED

Autonomous vehicles, although in its early stage, have demonstrated huge potential in shaping future life styles to many of us. However, to be accepted by ordinary users, autonomous vehicles have a critical issue to solve – this is trustworthy collision detection. No one likes an autonomous car that is doomed to a collision accident once every few years or months. In the real world, collision does happen at every second - more than 1.3 million people are killed by road accidents every single year. The current approaches for vehicle collision detection such as vehicle to vehicle communication, radar, laser based Lidar and GPS are far from acceptable in terms of reliability, cost, energy consumption and size. For example, radar is too sensitive to metallic material, Lidar is too expensive and it does not work well on absorbing/reflective surfaces, GPS based methods are difficult in cities with high buildings, vehicle to vehicle communication cannot detect pedestrians or any objects unconnected, segmentation based vision methods are too computing power thirsty to be miniaturized, and normal vision sensors cannot cope with fog, rain and dim environment at night. To save people’s lives and to make autonomous vehicles safer to serve human society, a new type of trustworthy, robust, low cost, and low energy consumption vehicle collision detection and avoidance systems are badly needed. This consortium proposes an innovative solution with brain-inspired multiple layered and multiple modalities information processing for trustworthy vehicle collision detection. It takes the advantages of low cost spatial-temporal and parallel computing capacity of bio-inspired visual neural systems and multiple modalities data inputs in extracting potential collision cues at complex weather and lighting conditions.

Mots clés : vehicle collision detection, safety, vision, multiple modality, insects visual pathway, motion sensitive neurons, looming sensitive neurons, thermal image, vlsi, neural system models, simulation

Participants :
- Northwestern Polytechnical University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Universität Hamburg (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 162000.0 €
- Agile robots ag (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 279000.0 €
- Visomorphic technology ltd (Royaume-Uni) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 58500.0 €
- University of Buenos Aires (Argentine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Dino robotics gmbh (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 9000.0 €
- Chinese Academy of Sciences (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Tsinghua University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Xi'an Jiaotong University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Lingnan Normal University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Guizhou University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Universiti Putra Malaysia (Malaisie) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Leicester (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 148500.0 €
- University of Münster (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 225000.0 €
- Guangzhou University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Tokyo University of Agriculture and Technology (Japon) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Huazhong University of Science and Technology (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Newcastle University (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 247500.0 €
- University of Lincoln (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 765000.0 €