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 1011–1020 of 2605 papers

TitleStatusHype
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI—0
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models—0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks—0
MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction—0
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic ViolationsCode0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach—0
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Benchmark Results

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