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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 821–830 of 2605 papers

TitleStatusHype
Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape TemplatesCode0
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
TULIP: Transformer for Upsampling of LiDAR Point CloudsCode1
Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels—0
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning—0
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
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Benchmark Results

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