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 1921–1930 of 2605 papers

TitleStatusHype
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning—0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks—0
Technical Report on Data Integration and Preparation—0
Pseudo-labeling for Scalable 3D Object Detection—0
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Machine Biometrics -- Towards Identifying Machines in a Smart City Environment—0
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Benchmark Results

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