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 951–960 of 2605 papers

TitleStatusHype
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs—0
Conditioning Latent-Space Clusters for Real-World Anomaly Classification—0
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling—0
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving—0
OccupancyDETR: Using DETR for Mixed Dense-sparse 3D Occupancy Prediction—0
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation—0
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure—0
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsCode0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
Towards Viewpoint Robustness in Bird's Eye View Segmentation—0
Show:102550
← PrevPage 96 of 261Next →

Benchmark Results

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