Don’t miss the chance to learn more about the latest developments in large scale video annotation at the 25th ITS World Congress. From 17 to 21 September, Vicomtech, Partner of Cloud LSVA, will be present in Copenhagen to showcase the latest developments of this European-funded project.
Since manually annotating huge volumes of data (video, LiDAR etc.) to train autonomous vehicles is a Herculean, resource and time-consuming task, Cloud LSVA develops tools which facilitate the analysis of this high quantity of data, essential for the development and testing of Advanced Driver Assistance Systems (ADAS). In Copenhagen, visitors will therefore have the chance to see some of the results developed in semi-automatic annotation tools.
Visit stand C4-012 and don’t miss the opportunity to test for free other demos, including:
- Vision-based Driver Monitoring Systems (DMS) such as Driver Fatigue Warning and Gaze Estimation systems. These DMS are also key in the road towards semi-autonomous vehicles (L3) when used in combination with other systems that monitor the environment of the vehicle. Road accidents continue to be a major public safety concern, and the main cause of the accidents is human error. Intelligent driver systems that can monitor the driver’s state and behaviour provide crucial information to understand the driving situation and identify potential hazards. Vicomtech develops different vision-based Driver Monitoring Systems (DMS) such as Driver Fatigue Warning and Gaze Estimation systems. These DMS are also key in the road towards semi-autonomous vehicles (L3) when used in combination with other systems that monitor the environment of the vehicle. Vicomtech works in this next-gen 720º (inside plus outside) connected Advanced Driver Assistance Systems within projects such as VI-DAS.
- Semi-automatic Annotation for ADAS: The development and testing of Advanced Driver Assistance Systems (ADAS) require a large quantity of data, captured by on-board sensors in vehicles, to be annotated. Such annotated data is essential for training the core algorithms, and it also constitutes the golden reference used to assess the performance of the systems. However, manually annotating huge volumes of data (video, LiDAR etc.) for training autonomous vehicles is a Herculean task and extremely resource-consuming. With cloud-enabled video analysis technology, along with tools to fuse video with other data sources, these problems could easily be overcome. Vicomtech works in projects such as Cloud-LSVA (Cloud Large Scale Video Analysis) to provide automatic and semi-automatic annotation tools to better cope with the order of magnitude (petabytes) of data to be analysed.
- Pedestrian Detection: Pedestrian Detection is fundamental within Advanced Driver Assistance Systems (ADAS) that aim to enhance road safety. Pedestrian Detection systems must be reliable and robust in the vast variety of human appearances and poses, environment contexts and driving scenarios. Additionally, such systems must perform in real-time to maximize reaction times of the driver or autonomous vehicle. Vicomtech works on developing innovative vision-based solutions in this field, as the ones integrated in the AUTOPILOT project. The solutions are based on deep-learning technologies, and special focus is given to optimization for the deployment of the systems into on-vehicle platforms with limited computational resources.
A free Exhibition Visitor Pass is also available and valid until September 10th: EXH_VICOMTECH. From then onwards, an exhibition fee will need to be paid when registering.
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