Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction

4 May 2021

Papers citing "Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction"

4 / 4 papers shown

Title
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 43 77 0 21 Aug 2023
Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine Dvij Kalaria Qin Lin John M. Dolan 23 12 0 14 Mar 2023
Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing Dvij Kalaria Qin Lin John M. Dolan 48 4 0 03 Mar 2023
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl Venkat Krovi Rahul Mangharam 40 215 0 14 Feb 2022