SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 981–990 of 2605 papers

TitleStatusHype
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles—0
Federated Data-Driven Kalman Filtering for State Estimation—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
Federated Feature Selection for Cyber-Physical Systems of Systems—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified