AUTOMOTIVE LIDAR FEATURE
1,550nm light, or continuous-wave illumination. Also, some lidars scan laser beams across the environment mechanically, while flash lidars have no moving parts, and illuminate their entire environments simultaneously. Companies seeking to exploit the industry’s explosive growth are therefore asking: How can systems be cheaper? And which are the optimal lidar solutions? Falling component prices ‘will come
in conjunction with the development of the artificial intelligence (AI) of the self- driving car software and fusion of multiple sensors, such as cameras, radar, lidar, and so on,’ Demezet said. Fully autonomous robotic vehicles will appear through taxi/
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shuttle-companies offering ‘mobility as a service’, with car manufacturers operating as sub-contractors to taxi companies. For them, full automotive qualification would be beneficial, but isn’t necessary as they would have regular maintenance regimes. ‘This has substantial arguments from a monetary standpoint, as it takes costs of maintaining and operating the vehicle from the user,’ Demezet noted. Guillaume Devauchelle, vice president
innovation and research at Valeo, agreed that lidar’s role is as one of multiple detection techniques to ensure safe object identification in autonomous vehicles. Combining advantages and drawbacks on the three different techniques should enable
autonomous driving with fewer than one major incident per billion kilometres, he estimated.
Lidar as standard ‘The most effective combination so far is camera plus radar plus scanner lidar,’ Devauchelle continued. First, sensors have to recognise a scene, using semantic classification to identify objects like pedestrians, cars and traffic lights – cameras are the very best for this, Devauchelle noted. ‘But, if you consider detection range or ability to operate in adverse weather conditions, for sure the lidar scanner is far better,’ he added, expressing confidence that as so many
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