A new Automotive World report looks at how advances in sensors and positioning technology impact the development of autonomous vehicles.
A self-driving or driverless vehicle’s ability to identify where it is, understand its surroundings and make decisions about where it needs to go next is the essence of autonomous vehicle (AV) development. The positioning technology that facilitates such decision-making includes camera, LiDAR, HD mapping and C-V2X, as well as high-definition mapping and perception technology.
In this report:
- Executive summary
- Enhanced connectivity will position cars perfectly for automation
- You don’t need V2X for autonomous vehicles—but it helps
- High-precision GNSS completes the picture for autonomous vehicle positioning—almost
- Why HD maps are essential for autonomous vehicle positioning
- LiDAR can handle autonomous vehicle corner cases, but automakers lag behind
- Cameras will remain essential automotive technology, but they need perfecting
- Autonomous vehicle perception is about more than just LiDAR and radar
- Why autonomous trucks need bespoke positioning tech
- Next-generation guided vehicles take autonomous car tech indoors
- Spoofing highlights autonomous vehicle sensor vulnerability
‘Special Report: The current state of autonomous vehicle positioning technology’ provides insight from a range of automotive industry stakeholders, including:
- AEye
- Bosch Rexroth
- Carmera
- Ficosa
- First Sense
- Hexagon Positioning Intelligence
- Kantar
- OTTO Motors
- Regulus Cyber
- Tactile Mobility
- Toyota
- Vayavision
- Volvo Group
