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 281–290 of 2605 papers

TitleStatusHype
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Dolphins: Multimodal Language Model for DrivingCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
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Benchmark Results

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