Object-detection, communication, navigation, safety, and security are just a few of the challenges facing autonomous car makers. Many of these require advanced sensory and communications technologies, as well as advances in artificial intelligence (AI).
Presently, intelligence-based features on “semi-autonomous” cars include adaptive front lighting, lane departure warning, adaptive cruise control, self-parking, blind-spot detection, and emergency assist braking. But getting to the next level of truly driver-less autonomous cars requires greater use of AI, a robust global navigation satellite system (GNSS), and advanced sensing capabilities—tasks that are much more complex and challenging.
Sophisticated mapping and data analytics are needed for autonomous vehicles to be effective. The challenges will be even tougher for overseas car makers whose roadways and regulations are totally different from those in the U.S. and Canada. Car companies must also get legislative approvals to survey roadways and show studies on what affects the communities involved where such mapping occurs.
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