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

Showing 461470 of 2605 papers

TitleStatusHype
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects0
Adversarial Examples: Opportunities and Challenges0
CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation0
Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection0
Certified Interpretability Robustness for Class Activation Mapping0
Collaborative Perception Datasets in Autonomous Driving: A Survey0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception0
Anticipatory Thinking Challenges in Open Worlds: Risk Management0
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Benchmark Results

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