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.RCI · Robotaxi Confidence Index 57.7 ▼ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 43.5 ▲ +0.1 .ATCI · Autonomous Trucks Confidence Index 42.2 ▲ +0.1 .DCI · Delivery Bots Confidence Index 55.8 – 0.0 WaymoUS 84.6 ▼ -1.2 Baidu Apollo GoCN 82.0 ▲ +0.2 WeRideCN 74.7 ▼ -2.4 Pony.aiCN 67.3 ▲ +0.3 Starship TechnologiesEE 67.0 – 0.0 NeolixCN 66.4 – 0.0 Serve RoboticsUS 62.7 ▼ -3.2 XPengCN 60.6 ▲ +1.6 KodiakUS 59.0 ▲ +1.4 Applied IntuitionUS 55.4 – 0.0 TeslaUS 55.1 ▼ -0.5 MomentaCN 54.1 ▲ +1.0 AuroraUS 53.2 ▲ +3.8 CocoUS 52.9 ▲ +4.4 Cao Cao MobilityCN 51.1 ▲ +2.2 Didi Autonomous DrivingCN 50.2 ▲ +5.4 DeepRoute.aiCN 50.0 ▲ +1.3 MobileyeIL 45.0 ▼ -3.0 MeituanCN 42.9 – 0.0 DoorDash DotUS 42.1 ▼ -1.8 Bot AutoUS 41.6 ▼ -1.0 May MobilityUS 40.4 ▼ -1.7 Avride PodUS 39.7 ▲ +1.8 ZooxUS 39.0 ▼ -5.0 WaabiCA 38.8 ▲ +5.1 Volvo Autonomous SolutionsSE 38.4 – 0.0 AvrideUS 36.2 ▼ -0.4 MotionalUS 35.7 ▲ +1.7 WayveGB 35.6 ▲ +4.6 MOIA AmericaDE 34.0 – 0.0 TorcUS 31.3 ▼ -1.4 VerneHR 30.1 ▲ +1.8 Tensor AutoUS 27.3 ▼ -0.5 NuroUS 22.8 ▲ +0.7 AutobrainsIL 22.4 – 0.0 Stack AVUS 21.7 – 0.0 Helm.aiUS 19.3 – 0.0 PlusAIUS 18.4 ▲ +1.3 HUMAINSA 5.1 ▲ +2.2 .RCI · Robotaxi Confidence Index 57.7 ▼ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 43.5 ▲ +0.1 .ATCI · Autonomous Trucks Confidence Index 42.2 ▲ +0.1 .DCI · Delivery Bots Confidence Index 55.8 – 0.0 WaymoUS 84.6 ▼ -1.2 Baidu Apollo GoCN 82.0 ▲ +0.2 WeRideCN 74.7 ▼ -2.4 Pony.aiCN 67.3 ▲ +0.3 Starship TechnologiesEE 67.0 – 0.0 NeolixCN 66.4 – 0.0 Serve RoboticsUS 62.7 ▼ -3.2 XPengCN 60.6 ▲ +1.6 KodiakUS 59.0 ▲ +1.4 Applied IntuitionUS 55.4 – 0.0 TeslaUS 55.1 ▼ -0.5 MomentaCN 54.1 ▲ +1.0 AuroraUS 53.2 ▲ +3.8 CocoUS 52.9 ▲ +4.4 Cao Cao MobilityCN 51.1 ▲ +2.2 Didi Autonomous DrivingCN 50.2 ▲ +5.4 DeepRoute.aiCN 50.0 ▲ +1.3 MobileyeIL 45.0 ▼ -3.0 MeituanCN 42.9 – 0.0 DoorDash DotUS 42.1 ▼ -1.8 Bot AutoUS 41.6 ▼ -1.0 May MobilityUS 40.4 ▼ -1.7 Avride PodUS 39.7 ▲ +1.8 ZooxUS 39.0 ▼ -5.0 WaabiCA 38.8 ▲ +5.1 Volvo Autonomous SolutionsSE 38.4 – 0.0 AvrideUS 36.2 ▼ -0.4 MotionalUS 35.7 ▲ +1.7 WayveGB 35.6 ▲ +4.6 MOIA AmericaDE 34.0 – 0.0 TorcUS 31.3 ▼ -1.4 VerneHR 30.1 ▲ +1.8 Tensor AutoUS 27.3 ▼ -0.5 NuroUS 22.8 ▲ +0.7 AutobrainsIL 22.4 – 0.0 Stack AVUS 21.7 – 0.0 Helm.aiUS 19.3 – 0.0 PlusAIUS 18.4 ▲ +1.3 HUMAINSA 5.1 ▲ +2.2
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Automating Logistics Yards with Computer Vision - The Road to Autonomy

Automating Logistics Yards with Computer Vision

Darin Brannan, CEO & co-founder of Terminal Industries joined Grayson Brulte on The Road to Autonomy podcast to discuss transforming the logistics yard into a fully automated environment using computer vision and agentic AI. 

Unlike legacy approaches that rely on RFID tags or manual “clipboard and radio” processes, Terminal Industries utilizes a proprietary computer vision platform trained on real world data, including weather occlusions, dirt, and glare to achieve high-accuracy tracking without requiring perfect conditions. 

By digitizing the yard through an agentic workflow approach, the company is moving beyond simple point solutions to building a unified operating system that connects the warehouse to transportation, effectively enabling the transition from manual oversight to autonomous execution.

Episode Chapters

  • 0:00 Playing Chess
  • 2:35 Yard Operating Systems
  • 7:15 Yard Bottlenecks
  • 9:33 Traditional Yard and Warehouse Operations
  • 15:15 Computer Vision
  • 19:05 Building LLM Models
  • 24:37 Data Control Centers
  • 27:43 Automating Yards
  • 36:34 Changing Consumer Habits
  • 39:03 Autonomous Trucks and Yards
  • 40:07 Future of Terminal Industries
The future is bright. The future is autonomous. The future is The Road to Autonomy.

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