Motion Planning for Self-Driving Cars: Algorithms and Behavior

Master the foundational path-finding algorithms and behavior-planning models needed to navigate autonomous vehicles safely through complex road networks.

4.8 (486) ⏱ 1 oras 13 min 📚 10 aralin 🎧 Audio version

Tungkol sa kursong ito

Developing software for autonomous vehicles requires a deep understanding of how a car decides where to go and how to get there safely. This course guides you through the core concepts of motion planning, translating environmental data into safe, actionable driving maneuvers. You will transition from understanding basic navigation to designing structured decision-making systems for self-driving cars. By reading through detailed explanations and studying algorithmic logic, you will learn how autonomous systems plan long-range missions, handle dynamic traffic scenarios, and calculate smooth, collision-free paths in real time. What you'll learn: - Understand the core architecture of autonomous motion planning, from global routing to local trajectory generation. - Apply classic graph-search algorithms like Dijkstra’s and A* to find optimal paths through road networks. - Design behavior-planning logic using finite state machines to handle intersections, lane changes, and pedestrian crossings. - Formulate local trajectory planners that generate smooth, executable steering and acceleration profiles. - Explore modern path-planning concepts such as Hybrid A* and safety-critical collision avoidance constraints. The curriculum begins with essential terminology and the hierarchical breakdown of the planning problem, before moving step-by-step into graph search, behavioral decision-making, and continuous trajectory optimization. You will analyze written algorithmic examples and pseudocode designed to build practical engineering intuition. This course is designed for aspiring robotics engineers, software developers, and tech enthusiasts who are new to autonomous vehicle technology. No prior experience in self-driving systems is required, though a basic familiarity with programming concepts will help you get the most out of the material. Start reading today and build the foundational knowledge to program the vehicles of tomorrow.

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  • Maikli at focused
    1 oras 13 min ng practical content

Mga review (8)

জিয়াউর রহমান BD
★ 3 · 2026-04-21T19:49:06+00:00

Pretty informative. I liked the practical application examples, though the initial setup took longer than I expected.

Harper Thompson NZ
★ 3 · 2026-03-24T02:45:06+00:00

This course delivered exactly what I needed. The explanations were clear and concise. Big thumbs up!

عبدالله بن محمد بن علي آل ثاني QA Verified learner
★ 4 · 2026-03-04T09:13:06+00:00

Really enjoyed the flow of this. The practical applications discussed were spot on. Great course!

عمر DZ Verified learner
★ 5 · 2025-12-28T02:09:06+00:00

Good overall. Some parts were a bit faster than I expected, but the examples were helpful. Generally a solid course.

Peter Petersen DK Verified learner
★ 3 · 2025-11-17T11:20:06+00:00

It was a pretty good course overall. Some parts moved a bit fast, but the examples were generally helpful. Worth the investment.

Emily Kruger ZA
★ 5 · 2025-11-08T06:20:06+00:00

Found it pretty useful. The lessons were well-paced for the most part. I did find myself wanting a bit more practical application shown.

Su Su Lwin MM Verified learner
★ 4 · 2025-07-21T12:34:06+00:00

Good overview of the topic. Some parts were a bit faster than I liked, but overall a solid learning experience.

Olivia Reed GB
★ 4 · 2025-01-05T23:06:06+00:00

Found this course to be quite beneficial. The way topics were introduced was effective. Just a minor point, some examples felt a bit dated.

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