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LiCaNext: Incorporating Sequential Range Residuals for Additional Advancement in Joint Perception and Motion Prediction
2021
IEEE Access
Autonomous driving can obtain accurate perception and reliable motion prediction with the support of multi-modal fusion. Recently, there has been growing interest in leveraging features from various onboard sensors to enhance the primary stages of autonomous driving. This paper proposes LiCaNext to capture additional accuracy advancements in joint perception and motion prediction while maintaining real-time requirements. LiCaNext is the next version of LiCaNet, which fuses LIDAR data in both
doi:10.1109/access.2021.3123169
fatcat:drai35gmijclxf6be7qnrgy4li