Session One – Keynote speaker: What are the key trends in autonomy in 2020? [2:00 - 2:45 PM EST]
Autonomous cars received a reality check in 2019. Timescales for delivering a full, Level 5 vehicle were reconsidered and made more realistic, with delivery being split in two – ADAS can be expected soon, full autonomy less so. With this in mind, what’s the outlook for 2020. Is the focus just improving ADAS, or is full autonomy still progressing at speed? And where will self-driving vehicles make their impact first?
- Where are we up to now? – breaking down the geography of autonomy, where testing is taking place, progress is being made, and where new opportunities lie
- The SAE Levels are the best way of communicating how autonomous a vehicle is, but are they up to the job?
- How to introduce autonomy in a way that consumers will accept
OEM speaker to be confirmed
Session Two – What is LiDAR’s role in driving towards autonomy? [3:00 - 3:45 PM EST]
Although we’ve established that fully-autonomous vehicles are slightly further away than first though, sophisticated ADAS are already rolling out in high-end vehicles. But what are the current pain points of automotive industry OEMs and Tier suppliers as they strive to achieve Level 2+ and L3 autonomy?
- What are OEMs and Tier 1s and 2s looking for when considering LiDAR technology?
- What is on OEM and Tier supplier roadmaps for the next 12-24 months?
- What solutions can a supplier like LeddarTech offer to the industry?
Session reserved for LeddarTech
Session Three – How do you control a self-driving car? [4:00 - 4:45 PM EST]
With no need to control a car with a steering wheel, pedals, or gearshifter, the way a user interacts with a vehicle can change to suit. But this shift is already taking place, not just with Bluetooth door locks and keyless go, but increasingly via smartphone – particularly when it comes to ordering transportation on demand.
- How do you design user experience and user interaction for autonomy?
- What is the role that artificial intelligence will play?
- Voice, touch, heart beat and more – new ways that the car and human can be as one
Session Four – How do you use machine learning to transform data? [5:00 - 5:45 PM EST]
The development of autonomous vehicles can’t progress without sensors, and the huge amounts of data they produce about the driven environment. However, without accurate labelling, the data is of limited use. However, advanced machine learning can be used to elevate the quality of data for training the next generation of self-driving car technology.
- Using platform-based data labelling solutions that are safe and secure
- How machine learning makes the most out of self-driving car data
- How the sponsor's platform works, with case study highlights
Session reserved for selected sponsor
Day 2 - Wednesday, 27th May 2020
Session One – Keynote speaker, what are the key trends and challenges in autonomous vehicle safety? [2:00 - 2:45 PM EST]
Without safety there can be no autonomy. The challenge for all those involved in self-driving vehicles is ensuring that all aspects are safe, from concept development to design, V&V, and introduction on public roads. There have already been setbacks, so it’s important to understand the latest in standards that keep the industry on track.
- What is the current status of ISO 26262 and ISO 21448 (SOTIF) in their implementation?
- What are the biggest challenges from a safety point of view to ensure smooth adoption of autonomous technology for consumers?
Rami Debouk, General Motors Research
Session Two – How do you drive innovation in automated software testing? [3:00 - 3:45 PM EST]
In the past, and OEM or Tier supplier would spend countless hours physically testing new technology before it could be sold. However, advanced software simulation can reduce time to market, costs, and the huge effort required to test and validate in real life, while AI makes it scalable, too.
- How can advanced software and data analytics highlight errors or risks?
- The benefits of artificial intelligence and machine learning in software testing
- Case study of how Parasoft has helped clients to improve processes
Session reserved for Parasoft
Session Three – How do you regulate autonomous car testing in the real world? [4:00 - 4:45 PM EST]
Autonomous cars have the potential to dramatically improve road safety. However, perfecting the technology comes with risks – as exemplified by the fatal accident between an Uber test vehicle and pedestrian in 2018. So how do legislators balance the need to support technology that could save lives in the long term, without compromising short-term public safety?
- How do you ensue that testing takes place in safety at all times?
- With such nascent technology, how do you ensure regulations keep pace with development?
- How do you communicate with firms that are testing vehicles to ensure regulations are followed?
Session Four – Is the future of autonomy really about going commercial? [5:00 - 5:45 PM EST]
Developing self-driving vehicles isn’t easy, but situations that are repeatable and repetitive allow systems to learn at a manageable pace. Likewise, some of the most tedious jobs for human drivers are those repetitive, tedious routes. Is it here that autonomy has its best chance of success in the shortest possible time frame?
- Retrace, Reload, Repeat – how commercial vehicles are well suited to autonomy
- Delivering efficiency and self-driving vehicles cutting times from order to arrival
- Case study of how autonomous technology is being applied to commercial routes
OEM speaker to be confirmed