首页|Findings from Stanford University Broaden Understanding of Intelligent Vehicles (Modeling and Control for Dynamic Drifting Trajectories)

Findings from Stanford University Broaden Understanding of Intelligent Vehicles (Modeling and Control for Dynamic Drifting Trajectories)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Transportation - Intelligent Vehi cles is the subject of a report. According tonews reporting out of Stanford, Ca lifornia, by NewsRx editors, research stated, “Drifting, or corneringwith rear tires that exceed slip limits, represents a trade-off of stability for controlla bility while operatingat the limits of friction. Recent work has demonstrated e xceptional performance by autonomous systemsof stabilization and path tracking a vehicle around an unstable drifting equilibrium.”

StanfordCaliforniaUnited StatesNor th and Central AmericaIntelligent VehiclesTransportationStanford Universit y

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.15)