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

Showing 301310 of 2605 papers

TitleStatusHype
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous VehiclesCode1
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of VehiclesCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
Maneuver-Aware Pooling for Vehicle Trajectory PredictionCode1
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Benchmark Results

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