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Is your lidar placement optimized for 3d scene understanding?
The reliability of driving perception systems under unprecedented conditions is crucial for
practical usage. Latest advancements have prompted increasing interest in multi-LiDAR …
practical usage. Latest advancements have prompted increasing interest in multi-LiDAR …
CrossPrune: Cooperative pruning for camera–LiDAR fused perception models of autonomous driving
Deep neural network pruning is effective in enabling high-performance perception models to
be deployed on autonomous driving platforms with limited computation and memory …
be deployed on autonomous driving platforms with limited computation and memory …
UniDrive: Towards Universal Driving Perception Across Camera Configurations
Vision-centric autonomous driving has demonstrated excellent performance with
economical sensors. As the fundamental step, 3D perception aims to infer 3D information …
economical sensors. As the fundamental step, 3D perception aims to infer 3D information …
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception
Constructing large-scale labeled datasets for multi-modal perception model training in
autonomous driving presents significant challenges. This has motivated the development of …
autonomous driving presents significant challenges. This has motivated the development of …
[CITARE][C] Predictive Motion Control Considering Body Attitude Constraints for Four in-Wheel Motor Vehicles
H Chu, Z Li, Q Kang, X Liu, B Gao, H Chen - Unmanned Systems, 2024 - World Scientific
In-wheel motor distributed-drive electric vehicles have the unique characteristic of being
able to control the torque of each wheel independently and accurately. However, when …
able to control the torque of each wheel independently and accurately. However, when …