Principal Analyst, Autonomous Vehicles
As a Principal Analyst, Glenn Sanders synthesizes information about automotive technologies, markets, and key players, including OEMs, suppliers, service providers, and platform providers. He brings more than 25 years of insight from his business and technology experience in Silicon Valley and Japan as a senior technologist and technology writer.
His first foray into technology writing was for Fujitsu in Tokyo Japan in 1996. He specializes in research related to the evolution of autonomous vehicles (AVs) and driver assistance technologies (ADAS). Prior to Informa, as a senior analyst for Intellectual Ventures, and for Ocean Tomo, Sanders led market analysis and technology valuation for investment funds worth over $20 million on a range of topics, including electric vehicles, power systems, microprocessors, near field communications, and semiconductors.
Latest From Glenn Sanders
Companies and investors are pumping billions of dollars into the autonomous vehicle sector for the chance to score big in this nascent market. Early movers are getting a jump on the competition with partnerships, pilot projects and production. This article analyzes survey results related to AI and Communications.
Developers and investors are pumping billions of dollars into lidar technology for the chance to score big in this nascent market. Early adopters getting a jump on the competition with partnerships and production.
Sensors provide data about the surroundings so AVs can safely share the roads with others and navigate a dynamic environment reliably without the need for driver intervention.
Self-driving vehicles take data from sensors and use it to interpret the surrounding environment. AI software determines the current situation and location, then controls the speed and plots a path to the target destination.
AVs from GM, Cruise, Audi, Honda, Toyota and Baidu are beginning to trickle out of factories, as the self-driving dream starts to become a reality. Development time, lagging regulations, varying safety requirements, rare edge cases, and sensor issues are challenges to this emerging industry.