Testing is critical for adoption of autonomous vehicles
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200009887 | ||
| 003 | MAP | ||
| 005 | 20220912143751.0 | ||
| 008 | 200326s2020 usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a892 | ||
| 245 | 1 | 0 | $aTesting is critical for adoption of autonomous vehicles |
| 260 | $aColorado$bKeysight Technologies$c2020 | ||
| 300 | $a9 p. | ||
| 520 | $aDevelopments in the autonomous vehicle (AV) arena are accelerating as traditional automakers, along with new players, invest in technology that is driving innovation. While AVs have the potential to improve automobile safety and driving convenience, their complexity requires a rigorous test and verification system to ensure vehicle safety across all types of traffic, road, and weather conditions. Certainly, AVs will use methods based on artificial intelligence (AI), which will enable the vehicles to communicate via telecom service and infrastructure providers. The underpinnings for AV technology is the connected car concept. Systems communicate with the vehicle about road and traffic conditions, vehicles nearby, and other critical elements of the driving experience. AV technology combines multiple sensors, computers, and software to produce self-driving cars. These cars are already statistically safer by miles driven than that of their human-driven counterparts. | ||
| 650 | 4 | $0MAPA20150019967$aVehículos autónomos | |
| 650 | 4 | $0MAPA20100011164$aVehículos eléctricos | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080554866$aInnovación | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080618384$aSeguridad en el automóvil | |
| 710 | 2 | $0MAPA20200006534$aKeysight Technologies |