RAGE is a radar-aided estimator that infers vehicle velocity, tire slip angles, and lateral forces from IMU and RADAR data for real-time grip estimation in autonomous race cars.
Computer vision approaches for vehicle sideslip angle estimation
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RAGE-XY extends a prior radar-aided estimation framework with online calibration and a tricycle model to improve lateral velocity and longitudinal force estimates for autonomous race cars using only onboard sensors.
citing papers explorer
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RAGE: A Tightly Coupled Radar-Aided Grip Estimator For Autonomous Race Cars
RAGE is a radar-aided estimator that infers vehicle velocity, tire slip angles, and lateral forces from IMU and RADAR data for real-time grip estimation in autonomous race cars.
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RAGE-XY: RADAR-Aided Longitudinal and Lateral Forces Estimation For Autonomous Race Cars
RAGE-XY extends a prior radar-aided estimation framework with online calibration and a tricycle model to improve lateral velocity and longitudinal force estimates for autonomous race cars using only onboard sensors.