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 911–920 of 2605 papers

TitleStatusHype
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study—0
5G Network Slicing: Analysis of Multiple Machine Learning Classifiers—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
GPT-Driver: Learning to Drive with GPTCode2
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Benchmark Results

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