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 561–570 of 2605 papers

TitleStatusHype
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Adversarial 3D Virtual Patches using Integrated Gradients—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration—0
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
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Benchmark Results

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