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 461–470 of 2605 papers

TitleStatusHype
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Learning to Map Vehicles into Bird's Eye ViewCode0
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Learning a Lattice Planner Control Set for Autonomous VehiclesCode0
Learning a Robust Multiagent Driving Policy for Traffic Congestion ReductionCode0
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
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Benchmark Results

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