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 1101–1110 of 2605 papers

TitleStatusHype
MR-IDM -- Merge Reactive Intelligent Driver Model: Towards Enhancing Laterally Aware Car-following Models—0
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional SettingsCode0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
t-RAIN: Robust generalization under weather-aliasing label shift attacks—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
Two is Better Than One: Digital Siblings to Improve Autonomous Driving TestingCode0
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving—0
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles—0
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous DrivingCode0
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding ApproachCode1
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Benchmark Results

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