1 00:00:00,000 --> 00:00:06,880 Every year, the Bibendum Challenge brings cars of the future together in a series of 2 00:00:06,880 --> 00:00:07,880 races. 3 00:00:07,880 --> 00:00:12,160 It's a lot of fun, but it's also a chance to compare new technologies. 4 00:00:12,160 --> 00:00:16,600 Some of the vehicles doing battle in the French capital Paris this year are prototypes equipped 5 00:00:16,600 --> 00:00:21,880 with highly sophisticated technology that could save many, many lives. 6 00:00:21,880 --> 00:00:25,760 With an ever-increasing number of vehicles on the road, the need to make them safer is 7 00:00:25,760 --> 00:00:29,100 more and more apparent. 8 00:00:29,100 --> 00:00:34,380 Around 50,000 people are killed in the European Union every year, a number that Brussels wants 9 00:00:34,380 --> 00:00:42,380 to halve by 2010 with the help of new technology. 10 00:00:42,380 --> 00:00:46,660 It's drivers like Frederic Blanc that new safety features will help in particular. 11 00:00:46,660 --> 00:00:56,140 The Frenchman's still haunted by a serious accident he had two years ago. 12 00:00:56,140 --> 00:00:58,660 I was driving at 80 kilometers per hour. 13 00:00:58,660 --> 00:01:01,740 There was ice on the road and the car started to skid. 14 00:01:01,740 --> 00:01:05,700 I lost control and the only thing that I could do was to close my eyes and wait for the car 15 00:01:05,700 --> 00:01:08,700 to stop. 16 00:01:08,700 --> 00:01:22,860 Fortunately, a safety belt and airbag saved Frederic from any serious injury. 17 00:01:22,860 --> 00:01:27,140 But in the future, it's hoped technology will be able to help prevent such accidents happening 18 00:01:27,140 --> 00:01:28,140 at all. 19 00:01:28,140 --> 00:01:32,900 Distance and parking sensors already feature in many modern cars and lorries to assist 20 00:01:32,900 --> 00:01:37,300 the driver. 21 00:01:37,300 --> 00:01:42,420 Researchers now want to make the vehicle itself more intelligent and aware of what's happening 22 00:01:42,420 --> 00:01:50,720 around it, explains Maxime Flaman from the Car Industry Association, ERTECO, in Brussels. 23 00:01:50,720 --> 00:01:54,140 They have to understand that there is a critical situation. 24 00:01:54,140 --> 00:01:57,380 They have to perceive their environment. 25 00:01:57,380 --> 00:02:01,220 They have to interact with the driver. 26 00:02:01,220 --> 00:02:07,620 And they have to see, okay, the driver is in a dangerous situation and I should act, 27 00:02:07,620 --> 00:02:13,580 I should brake, for example, or I should try to avoid the accident. 28 00:02:13,580 --> 00:02:18,020 On this safety track at the French Automobile Club in southern France, drivers like Frederic 29 00:02:18,020 --> 00:02:23,380 are learning how just a little more speed increases braking distances enormously. 30 00:02:23,380 --> 00:02:27,100 Safety braking aids have been developed by some car makers, but they're still suffering 31 00:02:27,100 --> 00:02:29,820 from teething problems. 32 00:02:29,820 --> 00:02:33,780 Different sensor systems work either with radars or normally invisible lasers to scan 33 00:02:33,780 --> 00:02:34,780 the environment. 34 00:02:34,780 --> 00:02:38,860 But with the European Commission's PREVENT project, researchers are trying to develop 35 00:02:38,860 --> 00:02:45,820 systems that could be incorporated by all manufacturers. 36 00:02:45,820 --> 00:02:50,380 The project allows us to try out new technologies that car manufacturers would not necessarily 37 00:02:50,500 --> 00:02:51,500 develop. 38 00:02:51,500 --> 00:02:56,060 But PREVENT also gives us the opportunity to work together to test systems that would 39 00:02:56,060 --> 00:03:05,060 not work on their own. 40 00:03:05,060 --> 00:03:10,060 Together with Flaman in Brussels, German telematics expert Matthias Schulze is coordinating a 41 00:03:10,060 --> 00:03:14,860 number of different projects in a Europe-wide network of developers, including the car industry 42 00:03:14,860 --> 00:03:17,220 and research institutes. 43 00:03:17,220 --> 00:03:21,860 In Athens, Angelos Amditis and his team are working on smarter software programs that 44 00:03:21,860 --> 00:03:28,980 could improve the performance of safety systems, like automatic braking or lane-keeping assistance. 45 00:03:28,980 --> 00:03:33,220 Key to all this is enabling the car to understand what's going on around it and react in the 46 00:03:33,220 --> 00:03:37,620 right way, like warning the driver in case of a dangerous situation. 47 00:03:37,620 --> 00:03:42,660 So Amditis and his team of engineers are developing sophisticated software to teach the car to 48 00:03:42,660 --> 00:03:44,100 recognize its environment. 49 00:03:44,100 --> 00:03:48,980 They are changing their position very fast. 50 00:03:48,980 --> 00:03:55,020 So if you are in a local area where you have a number of different cars, changing directions, 51 00:03:55,020 --> 00:04:00,380 changing positions, having different speeds, then you need to have a way to localize these 52 00:04:00,380 --> 00:04:04,300 cars in a very accurate way, very fast. 53 00:04:04,300 --> 00:04:09,580 And then you need to have ways to create what we call local dynamic networks between different 54 00:04:09,580 --> 00:04:14,700 cars in order to be able to achieve this communication. 55 00:04:14,700 --> 00:04:18,700 This is what Angelos Amditis and his team are trying to achieve. 56 00:04:18,700 --> 00:04:23,660 When one car comes across a hazard, such as icy roads, it will be able to pass this information 57 00:04:23,660 --> 00:04:33,300 on to other vehicles in the area in order to warn them. 58 00:04:33,300 --> 00:04:37,740 In these local dynamic networks, cars and lorries will also recognize construction sites 59 00:04:37,740 --> 00:04:42,220 or other obstacles and communicate them wirelessly to other cars. 60 00:04:42,220 --> 00:04:45,980 The aim is that eventually the elements of these systems will interact intelligently 61 00:04:45,980 --> 00:04:52,980 with each other, whatever make of car you're driving. 62 00:04:52,980 --> 00:05:04,300 All these elements allow the creation of common solutions for the future and common platforms, 63 00:05:04,300 --> 00:05:11,180 which in turn allow reduction of costs and creating all this critical mass that is needed, 64 00:05:11,180 --> 00:05:19,180 both in developing these new solutions, but also in supporting their penetration to society. 65 00:05:19,180 --> 00:05:24,300 Amditis is optimistic that his vision will become reality in the not-too-distant future. 66 00:05:24,300 --> 00:05:28,700 His hometown Athens has experienced a traffic revolution in the past few years with major 67 00:05:28,700 --> 00:05:30,060 investment. 68 00:05:30,060 --> 00:05:34,500 This has turned round a city that was once notorious for its smog and traffic chaos. 69 00:05:34,500 --> 00:05:38,540 And in the future, more intelligent systems will help to save more lives in Europe and 70 00:05:38,540 --> 00:05:39,540 worldwide. 71 00:05:39,540 --> 00:05:46,220 What you need in this area, you need really new, advanced human-machine interaction systems 72 00:05:46,220 --> 00:05:54,020 as we call them, which are capable of managing all this information and decide when, which 73 00:05:54,020 --> 00:06:00,420 information and how this information can be presented to the driver. 74 00:06:00,420 --> 00:06:05,380 Unlike existing dumb electronic systems that sometimes annoy and distract drivers, the 75 00:06:05,380 --> 00:06:12,460 virtual co-drivers of the future will only intervene in case of a possible danger. 76 00:06:12,460 --> 00:06:20,340 But such human-machine interaction requires highly sophisticated technology. 77 00:06:20,340 --> 00:06:24,540 Night vision, for example, is nothing new, but in regular vehicles it only makes sense 78 00:06:24,540 --> 00:06:29,060 when the electronic assistant works intelligently in the background. 79 00:06:29,060 --> 00:06:32,940 It should only interact with the driver when the situation appears to be getting out of 80 00:06:32,940 --> 00:06:48,980 control, like when vigilance devices warn drowsy drivers of their tiredness. 81 00:06:48,980 --> 00:06:53,220 The system needs to be designed in a way so the driver does not feel incapacitated. 82 00:06:53,220 --> 00:07:02,500 Ideally, he or she should not even be aware of it working in the background. 83 00:07:02,500 --> 00:07:06,620 In the meantime, Frederic will have to make do with improving his skills within the safety 84 00:07:06,620 --> 00:07:12,420 of the automobile club. 85 00:07:12,420 --> 00:07:17,060 What counts most is to be a good driver and to react correctly to whatever situation on 86 00:07:17,060 --> 00:07:26,580 every journey, not only here on the track but when driving to work or going on holiday. 87 00:07:26,580 --> 00:07:27,860 And that's vital. 88 00:07:27,860 --> 00:07:31,540 Even when the current technology is under development, make it off the test track and 89 00:07:31,540 --> 00:07:36,300 onto real roads, good driving skills will still be the most important factor in making 90 00:07:36,300 --> 00:07:37,300 it safer. 91 00:07:37,300 --> 00:07:40,860 It's just that soon we should all get a little extra help along the way. 92 00:07:47,060 --> 00:07:49,060 For more UN videos visit www.un.org