IEEE Intelligent Transportation Systems Magazine · 2022 · 24 citations · 30 references
Artificial IntelligenceDistributed Intelligent SystemEngineeringSmart MobilitySmart CityAdvanced Driver-assistance SystemIntelligent SystemsCyber-physical-social SystemsParallel DrivingComputational Social ScienceData ScienceAutonomous VehiclesIpda ConsistsSystems EngineeringIntelligent InfrastructureDistributed IntelligenceParallel ComputingConnected CarVehicle TechnologyComputer ScienceAutonomous DrivingSmart SocietyJune 2018Social ComputingAutomationParallel ProgrammingDistributed Artificial IntelligenceParallel Intelligence
On 27 June 2018, the International Parallel Driving Alliance (iPDA) inaugural conference was held in Changshu, China. The iPDA consists of 24 well-known institutions, e.g., the University of Cambridge, Purdue University Indianapolis, and the Royal Institute of Technology of Sweden. The iPDA aims to co-establish a common shared research platform for parallel driving and a timely exchange of the latest research results and data related to parallel driving. During the conference, participants discussed the definition, applications, and future challenges of parallel driving and generally agreed that it is a solution to the current autonomous driving problem. Five keynote speakers presented parallel driving with intelligent vehicle theme talks to share their perspectives, field applications, and outlooks on industry trends and future research.
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Chen Lv, Alberto Sangiovanni‐Vincentelli, Yutong Li et al. · IEEE Transactions on Industrial Electronics · 2018 · 287 citations · Full text
Parallel planning: a new motion planning framework for autonomous driving
Long Chen, Xuemin Hu, Wei Tian et al. · IEEE/CAA Journal of Automatica Sinica · 2018 · 135 citations