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 791–800 of 2605 papers

TitleStatusHype
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning—0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation—0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Automatic Testing With Reusable Adversarial Agents—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
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Benchmark Results

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