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 2111–2120 of 2605 papers

TitleStatusHype
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation—0
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems—0
Online Parameter Estimation for Human Driver Behavior Prediction—0
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning—0
Streaming Object Detection for 3-D Point Clouds—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
ML-driven Malware that Targets AV Safety—0
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Benchmark Results

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