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 751–760 of 2605 papers

TitleStatusHype
Arbitrary Angle of Arrival in Radar Target Simulation—0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices—0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
CGAP2: Context and gap aware predictive pose framework for early detection of gestures—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Certified Interpretability Robustness for Class Activation Mapping—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
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Benchmark Results

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