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 2061–2070 of 2605 papers

TitleStatusHype
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
Show:102550
← PrevPage 207 of 261Next →

Benchmark Results

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